* installing to library ‘/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages’
* installing *source* package ‘gesso’ ...
** package ‘gesso’ successfully unpacked and MD5 sums checked
** using staged installation
** libs
using C++ compiler: ‘g++-14 (Debian 14.2.0-8) 14.2.0’
using C++11
make[1]: Entering directory '/tmp/Rtmp2duris/R.INSTALL1214b5c95c491/gesso/src'
g++-14 -std=gnu++11 -I"/home/hornik/tmp/R.check/r-devel-gcc/Work/build/include" -DNDEBUG -I'/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/Rcpp/include' -I'/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include' -I'/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppThread/include' -I'/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include' -I'/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/bigmemory/include' -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:205,
from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:28,
from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
from RcppExports.cpp:4:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
49 | template<> struct is_arithmetic<__m128> { enum { value = true }; };
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
222 | template<> struct unpacket_traits<Packet4f> {
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
228 | template<> struct unpacket_traits<Packet2d> {
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
| ^
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:174:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
16 | struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> { \
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
29 | struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> { \
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
16 | struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> { \
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
29 | struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> { \
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:165:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
266 | Alignment = internal::traits<Coefficients>::Alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here
24 | ResAlignment = traits<Quaternion<float> >::Alignment
| ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:271:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<float, 4, 1>’
178 | class Matrix
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType;
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion<float>’
273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here
27 | {
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
266 | Alignment = internal::traits<Coefficients>::Alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here
98 | ResAlignment = traits<Quaternion<double> >::Alignment
| ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, 4, 1>’
178 | class Matrix
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType;
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion<double>’
273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here
102 | {
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/SparseCore:37,
from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Sparse:26,
from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:29:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
36 | class SparseCompressedBase
| ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix<double, 0, int>’
96 | class SparseMatrix
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here
61 | typedef Triplet<double> T;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, 1> >’
22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:18:8: required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
18 | struct traits<Map<PlainObjectType, MapOptions, StrideType> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
32 | enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1> >’
111 | int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/Rcpp/include/Rcpp/InputParameter.h:77:11: required from ‘class Rcpp::ConstReferenceInputParameter<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
77 | T obj ;
| ^~~
RcppExports.cpp:16:86: required from here
16 | Rcpp::traits::input_parameter< const Eigen::Map<Eigen::VectorXd>& >::type E(ESEXP);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, -1, 1>’
178 | class Matrix
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
24 | ? PlainObjectType::ColsAtCompileTime
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
32 | enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1> >’
111 | int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/Rcpp/include/Rcpp/InputParameter.h:77:11: required from ‘class Rcpp::ConstReferenceInputParameter<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
77 | T obj ;
| ^~~
RcppExports.cpp:16:86: required from here
16 | Rcpp::traits::input_parameter< const Eigen::Map<Eigen::VectorXd>& >::type E(ESEXP);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/Rcpp/include/Rcpp/InputParameter.h:77:11: required from ‘class Rcpp::ConstReferenceInputParameter<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
77 | T obj ;
| ^~~
RcppExports.cpp:16:86: required from here
16 | Rcpp::traits::input_parameter< const Eigen::Map<Eigen::VectorXd>& >::type E(ESEXP);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, -1, -1>’
178 | class Matrix
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
24 | ? PlainObjectType::ColsAtCompileTime
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
32 | enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1> >’
111 | int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/Rcpp/include/Rcpp/InputParameter.h:77:11: required from ‘class Rcpp::ConstReferenceInputParameter<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
77 | T obj ;
| ^~~
RcppExports.cpp:18:86: required from here
18 | Rcpp::traits::input_parameter< const Eigen::Map<Eigen::MatrixXd>& >::type C(CSEXP);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/Rcpp/include/Rcpp/InputParameter.h:77:11: required from ‘class Rcpp::ConstReferenceInputParameter<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
77 | T obj ;
| ^~~
RcppExports.cpp:18:86: required from here
18 | Rcpp::traits::input_parameter< const Eigen::Map<Eigen::MatrixXd>& >::type C(CSEXP);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
g++-14 -std=gnu++11 -I"/home/hornik/tmp/R.check/r-devel-gcc/Work/build/include" -DNDEBUG -I'/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/Rcpp/include' -I'/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include' -I'/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppThread/include' -I'/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include' -I'/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/bigmemory/include' -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c rcpp_compute_grid.cpp -o rcpp_compute_grid.o
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/smart_ptr/shared_ptr.hpp:18,
from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/shared_ptr.hpp:17,
from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/bigmemory/include/bigmemory/BigMatrix.h:10,
from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/bigmemory/include/bigmemory/MatrixAccessor.hpp:4,
from rcpp_compute_grid.cpp:1:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/smart_ptr/detail/shared_count.hpp:361:33: warning: ‘template<class> class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
361 | explicit shared_count( std::auto_ptr<Y> & r ): pi_( new sp_counted_impl_p<Y>( r.get() ) )
| ^~~~~~~~
In file included from /usr/include/c++/14/memory:78,
from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/smart_ptr/detail/sp_counted_impl.hpp:35,
from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/smart_ptr/detail/shared_count.hpp:27:
/usr/include/c++/14/bits/unique_ptr.h:59:28: note: declared here
59 | template<typename> class auto_ptr;
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/smart_ptr/shared_ptr.hpp:251:65: warning: ‘template<class> class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
251 | template< class T, class R > struct sp_enable_if_auto_ptr< std::auto_ptr< T >, R >
| ^~~~~~~~
/usr/include/c++/14/bits/unique_ptr.h:59:28: note: declared here
59 | template<typename> class auto_ptr;
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/smart_ptr/shared_ptr.hpp:508:31: warning: ‘template<class> class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
508 | explicit shared_ptr( std::auto_ptr<Y> & r ): px(r.get()), pn()
| ^~~~~~~~
/usr/include/c++/14/bits/unique_ptr.h:59:28: note: declared here
59 | template<typename> class auto_ptr;
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/smart_ptr/shared_ptr.hpp:521:22: warning: ‘template<class> class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
521 | shared_ptr( std::auto_ptr<Y> && r ): px(r.get()), pn()
| ^~~~~~~~
/usr/include/c++/14/bits/unique_ptr.h:59:28: note: declared here
59 | template<typename> class auto_ptr;
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/smart_ptr/shared_ptr.hpp:604:34: warning: ‘template<class> class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
604 | shared_ptr & operator=( std::auto_ptr<Y> & r )
| ^~~~~~~~
/usr/include/c++/14/bits/unique_ptr.h:59:28: note: declared here
59 | template<typename> class auto_ptr;
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/smart_ptr/shared_ptr.hpp:613:34: warning: ‘template<class> class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
613 | shared_ptr & operator=( std::auto_ptr<Y> && r )
| ^~~~~~~~
/usr/include/c++/14/bits/unique_ptr.h:59:28: note: declared here
59 | template<typename> class auto_ptr;
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/smart_ptr/shared_ptr.hpp: In member function ‘boost::shared_ptr<T>& boost::shared_ptr<T>::operator=(std::auto_ptr<_Up>&&)’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/smart_ptr/shared_ptr.hpp:615:38: warning: ‘template<class> class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
615 | this_type( static_cast< std::auto_ptr<Y> && >( r ) ).swap( *this );
| ^~~~~~~~
/usr/include/c++/14/bits/unique_ptr.h:59:28: note: declared here
59 | template<typename> class auto_ptr;
| ^~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:205,
from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:28,
from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
from rcpp_compute_grid.cpp:3:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h: At global scope:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
49 | template<> struct is_arithmetic<__m128> { enum { value = true }; };
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
222 | template<> struct unpacket_traits<Packet4f> {
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
228 | template<> struct unpacket_traits<Packet2d> {
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
| ^
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:174:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
16 | struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> { \
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
29 | struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> { \
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
16 | struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> { \
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
29 | struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> { \
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:165:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
266 | Alignment = internal::traits<Coefficients>::Alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here
24 | ResAlignment = traits<Quaternion<float> >::Alignment
| ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:271:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<float, 4, 1>’
178 | class Matrix
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType;
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion<float>’
273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here
27 | {
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
266 | Alignment = internal::traits<Coefficients>::Alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here
98 | ResAlignment = traits<Quaternion<double> >::Alignment
| ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, 4, 1>’
178 | class Matrix
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType;
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion<double>’
273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here
102 | {
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/SparseCore:37,
from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Sparse:26,
from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:29:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
36 | class SparseCompressedBase
| ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix<double, 0, int>’
96 | class SparseMatrix
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here
61 | typedef Triplet<double> T;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, 1> >’
22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from ‘struct Eigen::internal::traits<const Eigen::Matrix<double, -1, 1> >’
23 | template<typename T> struct traits<const T> : traits<T> {};
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:18:8: required from ‘struct Eigen::internal::traits<Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
18 | struct traits<Map<PlainObjectType, MapOptions, StrideType> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level<Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
32 | enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, 1> >’
111 | int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Solver.h:71:10: required from here
71 | MapVec E;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, -1, 1>’
178 | class Matrix
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits<Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
24 | ? PlainObjectType::ColsAtCompileTime
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level<Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
32 | enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, 1> >’
111 | int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Solver.h:71:10: required from here
71 | MapVec E;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, 1> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
Solver.h:71:10: required from here
71 | MapVec E;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, -1, -1>’
178 | class Matrix
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >’
24 | ? PlainObjectType::ColsAtCompileTime
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >’
32 | enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1> >’
111 | int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Solver.h:73:10: required from here
73 | MapMat C;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
Solver.h:73:10: required from here
73 | MapMat C;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
Solver.h:125:9: required from here
125 | E(E_.data(), E_.rows()),
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
Solver.h:127:9: required from here
127 | C(C_.data(), C_.rows(), C_.cols()),
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int> > >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int> > >’
36 | class SparseCompressedBase
| ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0>’
50 | class SparseMapBase<Derived,ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 1>’
148 | class SparseMapBase<Derived,WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map<Eigen::SparseMatrix<double, 0, int> >’
222 | class Map<SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Solver.h:163:9: required from here
163 | n(G_.rows()),
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:210:62: required from here
210 | normalize_weights_e = 1.0 / std::sqrt(E.cwiseProduct(E).dot(weights_user) - sqr(E.dot(weights_user)));
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:219:59: required from here
219 | temp_n = normalize_weights_e * temp_n.cwiseProduct(E);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
38 | >::type Scalar;
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:219:59: required from here
219 | temp_n = normalize_weights_e * temp_n.cwiseProduct(E);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:219:59: required from here
219 | temp_n = normalize_weights_e * temp_n.cwiseProduct(E);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Matrix<double, -1, 1> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
Solver.h:223:32: required from here
223 | norm_G = norm2_G.cwiseSqrt();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:258:78: required from here
258 | temp_p = norm2_G.cwiseProduct(norm2_GxE) - G_by_GxE.cwiseProduct(G_by_GxE);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:258:78: required from here
258 | temp_p = norm2_G.cwiseProduct(norm2_GxE) - G_by_GxE.cwiseProduct(G_by_GxE);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:259:56: required from here
259 | case1_A22_div_detA = norm2_GxE.cwiseQuotient(temp_p);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:286:127: required from here
286 | xbeta -= normalize_weights_g[index] * G.col(index).cwiseProduct((b_g[index] + ((normalize_weights_e * b_gxe[index]) * E).array()).matrix());
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
Solver.h:286:134: required from here
286 | xbeta -= normalize_weights_g[index] * G.col(index).cwiseProduct((b_g[index] + ((normalize_weights_e * b_gxe[index]) * E).array()).matrix());
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > >’
38 | >::type Scalar;
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:286:136: required from here
286 | xbeta -= normalize_weights_g[index] * G.col(index).cwiseProduct((b_g[index] + ((normalize_weights_e * b_gxe[index]) * E).array()).matrix());
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:286:136: required from here
286 | xbeta -= normalize_weights_g[index] * G.col(index).cwiseProduct((b_g[index] + ((normalize_weights_e * b_gxe[index]) * E).array()).matrix());
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:288:80: required from here
288 | temp_n = normalize_weights_g[index] * (Z_w - xbeta.cwiseProduct(weights)).cwiseProduct(G.col(index));
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:485:54: required from here
485 | return b_gxe.cwiseProduct(normalize_weights_g) * normalize_weights_e;
| ^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, 1, -1>’
178 | class Matrix
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:418:19: required from ‘class Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >’
418 | RowVectorType m_temp;
| ^~~~~~
GaussianSolver.h:76:38: required from here
76 | Eigen::FullPivHouseholderQR<MatXd> intercept_system_A_qr;
| ^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, 1> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, 1> >, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase<Eigen::Ref<Eigen::Matrix<double, -1, 1> > >’
59 | template<typename Derived> class RefBase
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from ‘class Eigen::Ref<Eigen::Matrix<double, -1, 1> >’
281 | template<typename PlainObjectType, int Options, typename StrideType> class Ref
| ^~~
GaussianSolver.h:202:39: required from here
202 | for (int i = 0; i < abs_res_by_G.size(); ++i) {
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GaussianSolver.h:274:77: required from here
274 | ArrayXd d_j = (lambda_1 - lambda_2 - (std::fabs(x_opt) * abs_res_by_G).array() - (lambda_2 - r * norm_GxE.array()).max((std::fabs(x_opt) * abs_res_by_GxE).array())) / (norm_GxE + norm_G).array();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
GaussianSolver.h:274:84: required from here
274 | ArrayXd d_j = (lambda_1 - lambda_2 - (std::fabs(x_opt) * abs_res_by_G).array() - (lambda_2 - r * norm_GxE.array()).max((std::fabs(x_opt) * abs_res_by_GxE).array())) / (norm_GxE + norm_G).array();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
GaussianSolver.h:278:55: required from here
278 | safe_set_zero = (upperbound_nu_by_GxE.array() - lambda_2).max(0) < (lambda_1 - upperbound_nu_by_G.array());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GaussianSolver.h:278:64: required from here
278 | safe_set_zero = (upperbound_nu_by_GxE.array() - lambda_2).max(0) < (lambda_1 - upperbound_nu_by_G.array());
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
38 | >::type Scalar;
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GaussianSolver.h:278:112: required from here
278 | safe_set_zero = (upperbound_nu_by_GxE.array() - lambda_2).max(0) < (lambda_1 - upperbound_nu_by_G.array());
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GaussianSolver.h:278:112: required from here
278 | safe_set_zero = (upperbound_nu_by_GxE.array() - lambda_2).max(0) < (lambda_1 - upperbound_nu_by_G.array());
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GaussianSolver.h:278:112: required from here
278 | safe_set_zero = (upperbound_nu_by_GxE.array() - lambda_2).max(0) < (lambda_1 - upperbound_nu_by_G.array());
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array<double, -1, 1>’
45 | class Array
| ^~~~~
GaussianSolver.h:278:112: required from here
278 | safe_set_zero = (upperbound_nu_by_GxE.array() - lambda_2).max(0) < (lambda_1 - upperbound_nu_by_G.array());
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<std::reference_wrapper<double(double)>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<std::reference_wrapper<double(double)>, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<std::reference_wrapper<double(double)>, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<std::reference_wrapper<double(double)>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<std::reference_wrapper<double(double)>, const Eigen::Matrix<double, -1, 1> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
BinomialSolver.h:37:23: required from here
37 | return z.unaryExpr(std::ref(sigmoid_scalar));
| ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
BinomialSolver.h:171:21: required from here
171 | X_1_E_C.col(0).setOnes();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, -1> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
BinomialSolver.h:179:41: required from here
179 | X_1_E_C_w_t = X_1_E_C_w.transpose();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
BinomialSolver.h:356:36: required from here
356 | minus_grad = X_1_E_C_w_t * nu;
| ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
BinomialSolver.h:357:34: required from here
357 | if (minus_grad.cwiseAbs().maxCoeff() < 1e-10) {
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
86 | class SolveImpl<Decomposition,RhsType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >’
62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
| ^~~~~
BinomialSolver.h:362:59: required from here
362 | b_diff = H.fullPivHouseholderQr().solve(minus_grad);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
rcpp_compute_grid.cpp:41:31: required from here
41 | nu = nu.cwiseProduct(weights);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
rcpp_compute_grid.cpp:44:61: required from here
44 | tmp = (normalize_weights_e * nu.cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, 1> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
rcpp_compute_grid.cpp:42:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
42 | VecXd tmp = (nu.transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
rcpp_compute_grid.cpp:42:31: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
42 | VecXd tmp = (nu.transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~~~~^~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
rcpp_compute_grid.cpp:42:44: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
42 | VecXd tmp = (nu.transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
rcpp_compute_grid.cpp:42:56: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
42 | VecXd tmp = (nu.transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
rcpp_compute_grid.cpp:42:71: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
42 | VecXd tmp = (nu.transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’
38 | >::type Scalar;
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
rcpp_compute_grid.cpp:44:30: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
44 | tmp = (normalize_weights_e * nu.cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
rcpp_compute_grid.cpp:44:30: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
44 | tmp = (normalize_weights_e * nu.cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
rcpp_compute_grid.cpp:44:63: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
44 | tmp = (normalize_weights_e * nu.cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
rcpp_compute_grid.cpp:44:76: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
44 | tmp = (normalize_weights_e * nu.cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
rcpp_compute_grid.cpp:44:88: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
44 | tmp = (normalize_weights_e * nu.cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
rcpp_compute_grid.cpp:44:103: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
44 | tmp = (normalize_weights_e * nu.cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
rcpp_compute_grid.cpp:42:31: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
42 | VecXd tmp = (nu.transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~~~~^~~~
rcpp_compute_grid.cpp:66:40: required from here
66 | return computeLambdaMaxRcpp<MapMat>(Gmap, E, Y, C, weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
rcpp_compute_grid.cpp:42:44: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
42 | VecXd tmp = (nu.transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:66:40: required from here
66 | return computeLambdaMaxRcpp<MapMat>(Gmap, E, Y, C, weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
rcpp_compute_grid.cpp:42:56: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
42 | VecXd tmp = (nu.transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:66:40: required from here
66 | return computeLambdaMaxRcpp<MapMat>(Gmap, E, Y, C, weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
rcpp_compute_grid.cpp:42:71: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
42 | VecXd tmp = (nu.transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:66:40: required from here
66 | return computeLambdaMaxRcpp<MapMat>(Gmap, E, Y, C, weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
rcpp_compute_grid.cpp:44:63: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
44 | tmp = (normalize_weights_e * nu.cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
rcpp_compute_grid.cpp:66:40: required from here
66 | return computeLambdaMaxRcpp<MapMat>(Gmap, E, Y, C, weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
rcpp_compute_grid.cpp:44:76: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
44 | tmp = (normalize_weights_e * nu.cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:66:40: required from here
66 | return computeLambdaMaxRcpp<MapMat>(Gmap, E, Y, C, weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
rcpp_compute_grid.cpp:44:88: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
44 | tmp = (normalize_weights_e * nu.cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:66:40: required from here
66 | return computeLambdaMaxRcpp<MapMat>(Gmap, E, Y, C, weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
rcpp_compute_grid.cpp:44:103: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
44 | tmp = (normalize_weights_e * nu.cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:66:40: required from here
66 | return computeLambdaMaxRcpp<MapMat>(Gmap, E, Y, C, weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GaussianSolver.h:314:40: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
314 | xbeta -= normalize_weights_e * E * b_e;
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
rcpp_compute_grid.cpp:30:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
30 | solver.update_intercept();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
GaussianSolver.h:317:23: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
317 | xbeta -= C.col(i) * b_c[i];
| ~~~~~^~~
rcpp_compute_grid.cpp:30:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
30 | solver.update_intercept();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GaussianSolver.h:317:27: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
317 | xbeta -= C.col(i) * b_c[i];
| ~~~~~~~~~^~~~~~
rcpp_compute_grid.cpp:30:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
30 | solver.update_intercept();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GaussianSolver.h:320:87: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
320 | intercept_system_B(1) = normalize_weights_e * E.dot(Z_w) - triple_dot_product(E * normalize_weights_e, xbeta, weights);
| ~~^~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:30:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
30 | solver.update_intercept();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GaussianSolver.h:328:29: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
328 | xbeta = xbeta.array() + b_0;
| ~~~~~~~~~~~~~~^~~~~
rcpp_compute_grid.cpp:30:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
30 | solver.update_intercept();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GaussianSolver.h:329:24: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
329 | xbeta += E * b_e * normalize_weights_e;
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:30:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
30 | solver.update_intercept();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GaussianSolver.h:357:14: required from ‘void GaussianSolver<TG>::get_residual(VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
357 | nu = Y - xbeta;
| ~~^~~~~~~
rcpp_compute_grid.cpp:31:24: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
31 | solver.get_residual(nu);
| ~~~~~~~~~~~~~~~~~~~^~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:360:29: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
360 | temp_n = mu.array() * (1 - mu.array());
| ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
BinomialSolver.h:361:25: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
BinomialSolver.h:361:47: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, 1>, -1, 1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>’
56 | template<typename VectorType, int Size> class VectorBlock
| ^~~~~~~~~~~
BinomialSolver.h:367:29: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
367 | b_c += b_diff.tail(C.cols());
| ~~~~~~~~~~~^~~~~~~~~~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GaussianSolver.h:118:27: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
118 | Z_w = Y.cwiseProduct(weights);
| ~~~~~~~~~~~~~~^~~~~~~~~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_compute_grid.cpp:29:24: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
29 | GaussianSolver<TG> solver(G, E, Y, C, weights, normalize[0]);
| ^~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:174:55: required from ‘void BinomialSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
174 | X_1_E_C_w.col(1) = E.cwiseProduct(weights_user) * normalize_weights_e;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:164:7: required from ‘BinomialSolver<TG>::BinomialSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
164 | init();
| ^~~~
rcpp_compute_grid.cpp:36:24: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
36 | BinomialSolver<TG> solver(G, E, Y, C, weights, normalize[0]);
| ^~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:177:53: required from ‘void BinomialSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
177 | X_1_E_C_w.col(i + 2) = C.col(i).cwiseProduct(weights_user);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
BinomialSolver.h:164:7: required from ‘BinomialSolver<TG>::BinomialSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
164 | init();
| ^~~~
rcpp_compute_grid.cpp:36:24: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
36 | BinomialSolver<TG> solver(G, E, Y, C, weights, normalize[0]);
| ^~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7: required from ‘class Eigen::BlockImpl<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true, Eigen::Sparse>’
17 | class BlockImpl<XprType,BlockRows,BlockCols,true,Sparse>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
Solver.h:208:55: required from ‘void Solver<TG>::base_init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
208 | normalize_weights_g[i] = 1.0 / std::sqrt(G.col(i).cwiseProduct(G.col(i)).dot(weights_user) - sqr(G.col(i).dot(weights_user)));
| ~~~~~^~~
Solver.h:195:5: required from ‘Solver<TG>::Solver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
195 | base_init();
| ^~~~~~~~~
GaussianSolver.h:111:37: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
111 | intercept_system_B(2 + C_.cols()) {
| ^
rcpp_compute_grid.cpp:29:24: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
29 | GaussianSolver<TG> solver(G, E, Y, C, weights, normalize[0]);
| ^~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> > >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, Eigen::Sparse>’
36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:208:71: required from ‘void Solver<TG>::base_init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
208 | normalize_weights_g[i] = 1.0 / std::sqrt(G.col(i).cwiseProduct(G.col(i)).dot(weights_user) - sqr(G.col(i).dot(weights_user)));
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
Solver.h:195:5: required from ‘Solver<TG>::Solver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
195 | base_init();
| ^~~~~~~~~
GaussianSolver.h:111:37: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
111 | intercept_system_B(2 + C_.cols()) {
| ^
rcpp_compute_grid.cpp:29:24: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
29 | GaussianSolver<TG> solver(G, E, Y, C, weights, normalize[0]);
| ^~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Sparse>’
36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:217:48: required from ‘void Solver<TG>::base_init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
217 | temp_n = G.col(i).cwiseProduct(G.col(i)) * sqr(normalize_weights_g[i]);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Solver.h:195:5: required from ‘Solver<TG>::Solver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
195 | base_init();
| ^~~~~~~~~
GaussianSolver.h:111:37: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
111 | intercept_system_B(2 + C_.cols()) {
| ^
rcpp_compute_grid.cpp:29:24: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
29 | GaussianSolver<TG> solver(G, E, Y, C, weights, normalize[0]);
| ^~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
In file included from rcpp_compute_grid.cpp:7:
Solver.h: In instantiation of ‘void Solver<TG>::update_weighted_variables(bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’:
GaussianSolver.h:117:32: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
117 | update_weighted_variables(false);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_compute_grid.cpp:29:24: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
29 | GaussianSolver<TG> solver(G, E, Y, C, weights, normalize[0]);
| ^~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
Solver.h:237:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
237 | for (int j = 0; j < working_set.size(); ++j) {
| ~~^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
GaussianSolver.h:319:52: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
319 | intercept_system_B(0) = Z_w.sum() - xbeta.dot(weights);
| ~~~~~~~~~^~~~~~~~~
rcpp_compute_grid.cpp:30:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
30 | solver.update_intercept();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
GaussianSolver.h:320:58: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
320 | intercept_system_B(1) = normalize_weights_e * E.dot(Z_w) - triple_dot_product(E * normalize_weights_e, xbeta, weights);
| ~~~~~^~~~~
rcpp_compute_grid.cpp:30:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
30 | solver.update_intercept();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
GaussianSolver.h:322:49: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
322 | intercept_system_B(i + 2) = C.col(i).dot(Z_w) - triple_dot_product(C.col(i), xbeta, weights);
| ~~~~~~~~~~~~^~~~~
rcpp_compute_grid.cpp:30:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
30 | solver.update_intercept();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:208:71: required from ‘void Solver<TG>::base_init() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
208 | normalize_weights_g[i] = 1.0 / std::sqrt(G.col(i).cwiseProduct(G.col(i)).dot(weights_user) - sqr(G.col(i).dot(weights_user)));
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
Solver.h:154:5: required from ‘Solver<TG>::Solver(const MapMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; MapMat = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
154 | base_init();
| ^~~~~~~~~
GaussianSolver.h:93:39: required from ‘GaussianSolver<TG>::GaussianSolver(const MapMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; MapMat = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
93 | intercept_system_B(2 + C_.cols()) {
| ^
rcpp_compute_grid.cpp:29:24: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
29 | GaussianSolver<TG> solver(G, E, Y, C, weights, normalize[0]);
| ^~~~~~
rcpp_compute_grid.cpp:66:40: required from here
66 | return computeLambdaMaxRcpp<MapMat>(Gmap, E, Y, C, weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:217:48: required from ‘void Solver<TG>::base_init() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
217 | temp_n = G.col(i).cwiseProduct(G.col(i)) * sqr(normalize_weights_g[i]);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Solver.h:154:5: required from ‘Solver<TG>::Solver(const MapMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; MapMat = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
154 | base_init();
| ^~~~~~~~~
GaussianSolver.h:93:39: required from ‘GaussianSolver<TG>::GaussianSolver(const MapMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; MapMat = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
93 | intercept_system_B(2 + C_.cols()) {
| ^
rcpp_compute_grid.cpp:29:24: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
29 | GaussianSolver<TG> solver(G, E, Y, C, weights, normalize[0]);
| ^~~~~~
rcpp_compute_grid.cpp:66:40: required from here
66 | return computeLambdaMaxRcpp<MapMat>(Gmap, E, Y, C, weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
Solver.h: In instantiation of ‘void Solver<TG>::update_weighted_variables(bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’:
GaussianSolver.h:117:32: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
117 | update_weighted_variables(false);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
GaussianSolver.h:94:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; MapMat = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
94 | init();
| ^~~~
rcpp_compute_grid.cpp:29:24: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
29 | GaussianSolver<TG> solver(G, E, Y, C, weights, normalize[0]);
| ^~~~~~
rcpp_compute_grid.cpp:66:40: required from here
66 | return computeLambdaMaxRcpp<MapMat>(Gmap, E, Y, C, weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Solver.h:237:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
237 | for (int j = 0; j < working_set.size(); ++j) {
| ~~^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int> > > >’
336 | typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:282:8: required from ‘struct Eigen::internal::evaluator<Eigen::Map<Eigen::SparseMatrix<double, 0, int> > >’
282 | struct evaluator<Map<SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:438:43: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, Eigen::internal::IteratorBased, double>’
438 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8: required from ‘struct Eigen::internal::block_evaluator<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true, false>’
1087 | struct block_evaluator<ArgType, BlockRows, BlockCols, InnerPanel, /*HasDirectAccess*/ false>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8: required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> >’
1034 | struct evaluator<Block<ArgType, BlockRows, BlockCols, InnerPanel> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:407:54: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::SparseMatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
29 | internal::evaluator<Derived> thisEval(derived());
| ^~~~~~~~
Solver.h:208:85: required from ‘void Solver<TG>::base_init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
208 | normalize_weights_g[i] = 1.0 / std::sqrt(G.col(i).cwiseProduct(G.col(i)).dot(weights_user) - sqr(G.col(i).dot(weights_user)));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
Solver.h:195:5: required from ‘Solver<TG>::Solver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
195 | base_init();
| ^~~~~~~~~
GaussianSolver.h:111:37: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
111 | intercept_system_B(2 + C_.cols()) {
| ^
rcpp_compute_grid.cpp:29:24: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
29 | GaussianSolver<TG> solver(G, E, Y, C, weights, normalize[0]);
| ^~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:277:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:407:54: required from ‘struct Eigen::internal::sparse_conjunction_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>’
407 | typedef typename evaluator<LhsArg>::InnerIterator LhsIterator;
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:334:8: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>’
334 | struct binary_evaluator<CwiseBinaryOp<scalar_product_op<T1,T2>, Lhs, Rhs>, IteratorBased, IteratorBased>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::SparseMatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
29 | internal::evaluator<Derived> thisEval(derived());
| ^~~~~~~~
Solver.h:208:85: required from ‘void Solver<TG>::base_init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
208 | normalize_weights_g[i] = 1.0 / std::sqrt(G.col(i).cwiseProduct(G.col(i)).dot(weights_user) - sqr(G.col(i).dot(weights_user)));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
Solver.h:195:5: required from ‘Solver<TG>::Solver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
195 | base_init();
| ^~~~~~~~~
GaussianSolver.h:111:37: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
111 | intercept_system_B(2 + C_.cols()) {
| ^
rcpp_compute_grid.cpp:29:24: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
29 | GaussianSolver<TG> solver(G, E, Y, C, weights, normalize[0]);
| ^~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
GaussianSolver.h:123:82: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
123 | intercept_system_A(1, 1) = sqr(normalize_weights_e) * E.cwiseProduct(E).dot(weights);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_compute_grid.cpp:29:24: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
29 | GaussianSolver<TG> solver(G, E, Y, C, weights, normalize[0]);
| ^~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; CoeffReturnType = double; Eigen::Index = long int]’
142 | EIGEN_STATIC_ASSERT(internal::evaluator<Derived>::Flags & LinearAccessBit,
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:164:19: required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator[](Eigen::Index) const [with Derived = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; CoeffReturnType = double; Eigen::Index = long int]’
164 | return coeff(index);
| ~~~~~^~~~~~~
Solver.h:37:16: required from ‘double triple_dot_product(const A&, const B&, const C&) [with A = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; B = Eigen::Matrix<double, -1, 1>; C = Eigen::Matrix<double, -1, 1>]’
37 | result += a[i] * b[i] * c[i];
| ~^
GaussianSolver.h:322:75: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
322 | intercept_system_B(i + 2) = C.col(i).dot(Z_w) - triple_dot_product(C.col(i), xbeta, weights);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:30:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
30 | solver.update_intercept();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Scalar = double]’
347 | return derived() = Constant(rows(), cols(), val);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:700:10: required from ‘Derived& Eigen::DenseBase<Derived>::setOnes() [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>]’
700 | return setConstant(Scalar(1));
| ^~~~~~~~~~~
BinomialSolver.h:171:29: required from ‘void BinomialSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
171 | X_1_E_C.col(0).setOnes();
| ~~~~~~~~~~~~~~~~~~~~~~^~
BinomialSolver.h:164:7: required from ‘BinomialSolver<TG>::BinomialSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
164 | init();
| ^~~~
rcpp_compute_grid.cpp:36:24: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
36 | BinomialSolver<TG> solver(G, E, Y, C, weights, normalize[0]);
| ^~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; U = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
Solver.h:210:66: required from ‘void Solver<TG>::base_init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
210 | normalize_weights_e = 1.0 / std::sqrt(E.cwiseProduct(E).dot(weights_user) - sqr(E.dot(weights_user)));
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
Solver.h:195:5: required from ‘Solver<TG>::Solver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
195 | base_init();
| ^~~~~~~~~
GaussianSolver.h:111:37: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
111 | intercept_system_B(2 + C_.cols()) {
| ^
rcpp_compute_grid.cpp:29:24: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
29 | GaussianSolver<TG> solver(G, E, Y, C, weights, normalize[0]);
| ^~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; U = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
Solver.h:210:92: required from ‘void Solver<TG>::base_init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
210 | normalize_weights_e = 1.0 / std::sqrt(E.cwiseProduct(E).dot(weights_user) - sqr(E.dot(weights_user)));
| ~~~~~^~~~~~~~~~~~~~
Solver.h:195:5: required from ‘Solver<TG>::Solver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
195 | base_init();
| ^~~~~~~~~
GaussianSolver.h:111:37: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
111 | intercept_system_B(2 + C_.cols()) {
| ^
rcpp_compute_grid.cpp:29:24: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
29 | GaussianSolver<TG> solver(G, E, Y, C, weights, normalize[0]);
| ^~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
Solver.h:218:30: required from ‘void Solver<TG>::base_init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
218 | norm2_G[i] = temp_n.dot(weights_user);
| ~~~~~~~~~~^~~~~~~~~~~~~~
Solver.h:195:5: required from ‘Solver<TG>::Solver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
195 | base_init();
| ^~~~~~~~~
GaussianSolver.h:111:37: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
111 | intercept_system_B(2 + C_.cols()) {
| ^
rcpp_compute_grid.cpp:29:24: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
29 | GaussianSolver<TG> solver(G, E, Y, C, weights, normalize[0]);
| ^~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix<double, -1, 1>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Matrix<double, -1, 1> >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:319:38: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
319 | intercept_system_B(0) = Z_w.sum() - xbeta.dot(weights);
| ~~~~~~~^~
rcpp_compute_grid.cpp:30:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
30 | solver.update_intercept();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:454:3: required from ‘Eigen::FullPivHouseholderQR<_MatrixType>& Eigen::FullPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
454 | computeInPlace();
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:362:40: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
362 | b_diff = H.fullPivHouseholderQr().solve(minus_grad);
| ~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:491:33: required from ‘void Eigen::FullPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
490 | Score score = m_qr.bottomRightCorner(rows-k, cols-k)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
491 | .unaryExpr(Scoring())
| ~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:454:3: required from ‘Eigen::FullPivHouseholderQR<_MatrixType>& Eigen::FullPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
454 | computeInPlace();
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:362:40: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
362 | b_diff = H.fullPivHouseholderQr().solve(minus_grad);
| ~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:454:3: required from ‘Eigen::FullPivHouseholderQR<_MatrixType>& Eigen::FullPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
454 | computeInPlace();
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:362:40: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
362 | b_diff = H.fullPivHouseholderQr().solve(minus_grad);
| ~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:454:3: required from ‘Eigen::FullPivHouseholderQR<_MatrixType>& Eigen::FullPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
454 | computeInPlace();
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:362:40: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
362 | b_diff = H.fullPivHouseholderQr().solve(minus_grad);
| ~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:454:3: required from ‘Eigen::FullPivHouseholderQR<_MatrixType>& Eigen::FullPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
454 | computeInPlace();
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:362:40: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
362 | b_diff = H.fullPivHouseholderQr().solve(minus_grad);
| ~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; U = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
Solver.h:208:85: required from ‘void Solver<TG>::base_init() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
208 | normalize_weights_g[i] = 1.0 / std::sqrt(G.col(i).cwiseProduct(G.col(i)).dot(weights_user) - sqr(G.col(i).dot(weights_user)));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
Solver.h:154:5: required from ‘Solver<TG>::Solver(const MapMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; MapMat = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
154 | base_init();
| ^~~~~~~~~
GaussianSolver.h:93:39: required from ‘GaussianSolver<TG>::GaussianSolver(const MapMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; MapMat = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
93 | intercept_system_B(2 + C_.cols()) {
| ^
rcpp_compute_grid.cpp:29:24: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
29 | GaussianSolver<TG> solver(G, E, Y, C, weights, normalize[0]);
| ^~~~~~
rcpp_compute_grid.cpp:66:40: required from here
66 | return computeLambdaMaxRcpp<MapMat>(Gmap, E, Y, C, weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; U = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
Solver.h:208:118: required from ‘void Solver<TG>::base_init() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
208 | normalize_weights_g[i] = 1.0 / std::sqrt(G.col(i).cwiseProduct(G.col(i)).dot(weights_user) - sqr(G.col(i).dot(weights_user)));
| ~~~~~~~~~~~~^~~~~~~~~~~~~~
Solver.h:154:5: required from ‘Solver<TG>::Solver(const MapMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; MapMat = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
154 | base_init();
| ^~~~~~~~~
GaussianSolver.h:93:39: required from ‘GaussianSolver<TG>::GaussianSolver(const MapMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; MapMat = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
93 | intercept_system_B(2 + C_.cols()) {
| ^
rcpp_compute_grid.cpp:29:24: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
29 | GaussianSolver<TG> solver(G, E, Y, C, weights, normalize[0]);
| ^~~~~~
rcpp_compute_grid.cpp:66:40: required from here
66 | return computeLambdaMaxRcpp<MapMat>(Gmap, E, Y, C, weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
448 | return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
466 | return maxCoeff<PropagateFast>();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
BinomialSolver.h:357:43: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
357 | if (minus_grad.cwiseAbs().maxCoeff() < 1e-10) {
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:454:3: required from ‘Eigen::FullPivHouseholderQR<_MatrixType>& Eigen::FullPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
454 | computeInPlace();
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:362:40: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
362 | b_diff = H.fullPivHouseholderQr().solve(minus_grad);
| ~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:454:3: required from ‘Eigen::FullPivHouseholderQR<_MatrixType>& Eigen::FullPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
454 | computeInPlace();
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:362:40: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
362 | b_diff = H.fullPivHouseholderQr().solve(minus_grad);
| ~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:454:3: required from ‘Eigen::FullPivHouseholderQR<_MatrixType>& Eigen::FullPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
454 | computeInPlace();
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:362:40: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
362 | b_diff = H.fullPivHouseholderQr().solve(minus_grad);
| ~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:454:3: required from ‘Eigen::FullPivHouseholderQR<_MatrixType>& Eigen::FullPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
454 | computeInPlace();
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:362:40: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
362 | b_diff = H.fullPivHouseholderQr().solve(minus_grad);
| ~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:454:3: required from ‘Eigen::FullPivHouseholderQR<_MatrixType>& Eigen::FullPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
454 | computeInPlace();
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:362:40: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
362 | b_diff = H.fullPivHouseholderQr().solve(minus_grad);
| ~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:454:3: required from ‘Eigen::FullPivHouseholderQR<_MatrixType>& Eigen::FullPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
454 | computeInPlace();
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:362:40: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
362 | b_diff = H.fullPivHouseholderQr().solve(minus_grad);
| ~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:454:3: required from ‘Eigen::FullPivHouseholderQR<_MatrixType>& Eigen::FullPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
454 | computeInPlace();
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:362:40: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
362 | b_diff = H.fullPivHouseholderQr().solve(minus_grad);
| ~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:454:3: required from ‘Eigen::FullPivHouseholderQR<_MatrixType>& Eigen::FullPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
454 | computeInPlace();
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:362:40: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
362 | b_diff = H.fullPivHouseholderQr().solve(minus_grad);
| ~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:454:3: required from ‘Eigen::FullPivHouseholderQR<_MatrixType>& Eigen::FullPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
454 | computeInPlace();
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:362:40: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
362 | b_diff = H.fullPivHouseholderQr().solve(minus_grad);
| ~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Functor = add_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Func = add_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::Matrix<double, -1, 1>]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:367:15: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
367 | b_c += b_diff.tail(C.cols());
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
GaussianSolver.h:319:52: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
319 | intercept_system_B(0) = Z_w.sum() - xbeta.dot(weights);
| ~~~~~~~~~^~~~~~~~~
rcpp_compute_grid.cpp:30:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
30 | solver.update_intercept();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
GaussianSolver.h:320:58: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
320 | intercept_system_B(1) = normalize_weights_e * E.dot(Z_w) - triple_dot_product(E * normalize_weights_e, xbeta, weights);
| ~~~~~^~~~~
rcpp_compute_grid.cpp:30:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
30 | solver.update_intercept();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
GaussianSolver.h:322:49: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
322 | intercept_system_B(i + 2) = C.col(i).dot(Z_w) - triple_dot_product(C.col(i), xbeta, weights);
| ~~~~~~~~~~~~^~~~~
rcpp_compute_grid.cpp:30:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
30 | solver.update_intercept();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 1>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, 1, 1, 0, 1, 1>’
178 | class Matrix
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:558:65: required from ‘void Eigen::FullPivHouseholderQR<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix<double, -1, 1>; DstType = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
558 | Matrix<typename RhsType::Scalar,1,RhsType::ColsAtCompileTime> temp(rhs.cols());
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
rcpp_compute_grid.cpp:30:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
30 | solver.update_intercept();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
rcpp_compute_grid.cpp:30:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
30 | solver.update_intercept();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
rcpp_compute_grid.cpp:30:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
30 | solver.update_intercept();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
rcpp_compute_grid.cpp:30:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
30 | solver.update_intercept();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
rcpp_compute_grid.cpp:30:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
30 | solver.update_intercept();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
rcpp_compute_grid.cpp:30:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
30 | solver.update_intercept();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
rcpp_compute_grid.cpp:30:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
30 | solver.update_intercept();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:454:3: required from ‘Eigen::FullPivHouseholderQR<_MatrixType>& Eigen::FullPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
454 | computeInPlace();
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:362:40: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
362 | b_diff = H.fullPivHouseholderQr().solve(minus_grad);
| ~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
93 | essential = tail / (c0 - beta);
| ~~~~~^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:454:3: required from ‘Eigen::FullPivHouseholderQR<_MatrixType>& Eigen::FullPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
454 | computeInPlace();
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:362:40: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
362 | b_diff = H.fullPivHouseholderQr().solve(minus_grad);
| ~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from ‘Derived& Eigen::DenseBase<Derived>::operator*=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
20 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:123:11: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:454:3: required from ‘Eigen::FullPivHouseholderQR<_MatrixType>& Eigen::FullPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
454 | computeInPlace();
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:362:40: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
362 | b_diff = H.fullPivHouseholderQr().solve(minus_grad);
| ~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
GaussianSolver.h:123:82: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
123 | intercept_system_A(1, 1) = sqr(normalize_weights_e) * E.cwiseProduct(E).dot(weights);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_compute_grid.cpp:29:24: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
29 | GaussianSolver<TG> solver(G, E, Y, C, weights, normalize[0]);
| ^~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, -1, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, -1, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 0, -1, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 0, -1, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 0, -1, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
rcpp_compute_grid.cpp:30:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
30 | solver.update_intercept();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1, 1, 1, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1, 1, 1, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1, 1, 1, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
rcpp_compute_grid.cpp:30:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
30 | solver.update_intercept();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
rcpp_compute_grid.cpp:30:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
30 | solver.update_intercept();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
rcpp_compute_grid.cpp:30:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
30 | solver.update_intercept();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
rcpp_compute_grid.cpp:30:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
30 | solver.update_intercept();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0, 3>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
rcpp_compute_grid.cpp:30:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
30 | solver.update_intercept();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
rcpp_compute_grid.cpp:30:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
30 | solver.update_intercept();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > > >’
38 | >::type Scalar;
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
rcpp_compute_grid.cpp:30:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
30 | solver.update_intercept();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
131 | this->row(0) -= tau * tmp;
| ~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:564:33: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
rcpp_compute_grid.cpp:30:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
30 | solver.update_intercept();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
132 | bottom.noalias() -= tau * essential * tmp;
| ~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:564:33: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
rcpp_compute_grid.cpp:30:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
30 | solver.update_intercept();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0, 4>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
rcpp_compute_grid.cpp:30:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
30 | solver.update_intercept();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Functor = assign_op<double, double>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Map<const Eigen::Matrix<double, -1, 1> >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:172:24: required from ‘void BinomialSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
172 | X_1_E_C_w.col(0) = weights_user;
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
BinomialSolver.h:164:7: required from ‘BinomialSolver<TG>::BinomialSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
164 | init();
| ^~~~
rcpp_compute_grid.cpp:36:24: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
36 | BinomialSolver<TG> solver(G, E, Y, C, weights, normalize[0]);
| ^~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::internal::IndexBased, double>’
564 | CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
79 | CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >]’
123 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Visitor.h:348:14: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:454:3: required from ‘Eigen::FullPivHouseholderQR<_MatrixType>& Eigen::FullPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
454 | computeInPlace();
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:362:40: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
362 | b_diff = H.fullPivHouseholderQr().solve(minus_grad);
| ~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
98 | return numext::real((*this).cwiseAbs2().sum());
| ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:454:3: required from ‘Eigen::FullPivHouseholderQR<_MatrixType>& Eigen::FullPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
454 | computeInPlace();
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:362:40: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
362 | b_diff = H.fullPivHouseholderQr().solve(minus_grad);
| ~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]’
142 | EIGEN_STATIC_ASSERT(internal::evaluator<Derived>::Flags & LinearAccessBit,
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:79:20: required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
79 | Scalar c0 = coeff(0);
| ~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
46 | makeHouseholder(essentialPart, tau, beta);
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:523:52: required from ‘void Eigen::FullPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
523 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:454:3: required from ‘Eigen::FullPivHouseholderQR<_MatrixType>& Eigen::FullPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
454 | computeInPlace();
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:362:40: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
362 | b_diff = H.fullPivHouseholderQr().solve(minus_grad);
| ~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; U = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
Solver.h:210:66: required from ‘void Solver<TG>::base_init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
210 | normalize_weights_e = 1.0 / std::sqrt(E.cwiseProduct(E).dot(weights_user) - sqr(E.dot(weights_user)));
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
Solver.h:195:5: required from ‘Solver<TG>::Solver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
195 | base_init();
| ^~~~~~~~~
GaussianSolver.h:111:37: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
111 | intercept_system_B(2 + C_.cols()) {
| ^
rcpp_compute_grid.cpp:29:24: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
29 | GaussianSolver<TG> solver(G, E, Y, C, weights, normalize[0]);
| ^~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; U = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
Solver.h:210:92: required from ‘void Solver<TG>::base_init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
210 | normalize_weights_e = 1.0 / std::sqrt(E.cwiseProduct(E).dot(weights_user) - sqr(E.dot(weights_user)));
| ~~~~~^~~~~~~~~~~~~~
Solver.h:195:5: required from ‘Solver<TG>::Solver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
195 | base_init();
| ^~~~~~~~~
GaussianSolver.h:111:37: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
111 | intercept_system_B(2 + C_.cols()) {
| ^
rcpp_compute_grid.cpp:29:24: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
29 | GaussianSolver<TG> solver(G, E, Y, C, weights, normalize[0]);
| ^~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
Solver.h:218:30: required from ‘void Solver<TG>::base_init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
218 | norm2_G[i] = temp_n.dot(weights_user);
| ~~~~~~~~~~^~~~~~~~~~~~~~
Solver.h:195:5: required from ‘Solver<TG>::Solver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
195 | base_init();
| ^~~~~~~~~
GaussianSolver.h:111:37: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
111 | intercept_system_B(2 + C_.cols()) {
| ^
rcpp_compute_grid.cpp:29:24: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
29 | GaussianSolver<TG> solver(G, E, Y, C, weights, normalize[0]);
| ^~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from ‘Derived& Eigen::DenseBase<Derived>::operator*=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
20 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:123:11: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
123 | *this *= Scalar(1)-tau;
| ~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:564:33: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
rcpp_compute_grid.cpp:30:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
30 | solver.update_intercept();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Scalar = double]’
347 | return derived() = Constant(rows(), cols(), val);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>]’
548 | return setConstant(Scalar(0));
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:573:96: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
rcpp_compute_grid.cpp:30:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
30 | solver.update_intercept();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
370 | typedef typename nested_eval<Rhs,1>::type RhsNested;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:454:3: required from ‘Eigen::FullPivHouseholderQR<_MatrixType>& Eigen::FullPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
454 | computeInPlace();
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:362:40: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
362 | b_diff = H.fullPivHouseholderQr().solve(minus_grad);
| ~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; U = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
Solver.h:208:85: required from ‘void Solver<TG>::base_init() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
208 | normalize_weights_g[i] = 1.0 / std::sqrt(G.col(i).cwiseProduct(G.col(i)).dot(weights_user) - sqr(G.col(i).dot(weights_user)));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
Solver.h:154:5: required from ‘Solver<TG>::Solver(const MapMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; MapMat = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
154 | base_init();
| ^~~~~~~~~
GaussianSolver.h:93:39: required from ‘GaussianSolver<TG>::GaussianSolver(const MapMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; MapMat = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
93 | intercept_system_B(2 + C_.cols()) {
| ^
rcpp_compute_grid.cpp:29:24: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
29 | GaussianSolver<TG> solver(G, E, Y, C, weights, normalize[0]);
| ^~~~~~
rcpp_compute_grid.cpp:66:40: required from here
66 | return computeLambdaMaxRcpp<MapMat>(Gmap, E, Y, C, weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; U = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
Solver.h:208:118: required from ‘void Solver<TG>::base_init() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
208 | normalize_weights_g[i] = 1.0 / std::sqrt(G.col(i).cwiseProduct(G.col(i)).dot(weights_user) - sqr(G.col(i).dot(weights_user)));
| ~~~~~~~~~~~~^~~~~~~~~~~~~~
Solver.h:154:5: required from ‘Solver<TG>::Solver(const MapMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; MapMat = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
154 | base_init();
| ^~~~~~~~~
GaussianSolver.h:93:39: required from ‘GaussianSolver<TG>::GaussianSolver(const MapMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; MapMat = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
93 | intercept_system_B(2 + C_.cols()) {
| ^
rcpp_compute_grid.cpp:29:24: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
29 | GaussianSolver<TG> solver(G, E, Y, C, weights, normalize[0]);
| ^~~~~~
rcpp_compute_grid.cpp:66:40: required from here
66 | return computeLambdaMaxRcpp<MapMat>(Gmap, E, Y, C, weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
rcpp_compute_grid.cpp:30:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
30 | solver.update_intercept();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
1043 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; Functor = swap_assign_op<double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; Func = swap_assign_op<double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:454:3: required from ‘Eigen::FullPivHouseholderQR<_MatrixType>& Eigen::FullPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
454 | computeInPlace();
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:362:40: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
362 | b_diff = H.fullPivHouseholderQr().solve(minus_grad);
| ~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; Functor = swap_assign_op<double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; Func = swap_assign_op<double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:454:3: required from ‘Eigen::FullPivHouseholderQR<_MatrixType>& Eigen::FullPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
454 | computeInPlace();
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:362:40: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
362 | b_diff = H.fullPivHouseholderQr().solve(minus_grad);
| ~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
564 | CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:454:3: required from ‘Eigen::FullPivHouseholderQR<_MatrixType>& Eigen::FullPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
454 | computeInPlace();
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:362:40: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
362 | b_diff = H.fullPivHouseholderQr().solve(minus_grad);
| ~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:97:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
rcpp_compute_grid.cpp:30:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
30 | solver.update_intercept();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
rcpp_compute_grid.cpp:30:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
30 | solver.update_intercept();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
rcpp_compute_grid.cpp:30:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
30 | solver.update_intercept();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:125:66: required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’
125 | Map<Matrix<RhsScalar,Dynamic,1> >(rhs+s,r) -= rhs[i] * cjLhs.col(i).segment(s,r);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
rcpp_compute_grid.cpp:30:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
30 | solver.update_intercept();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:333:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’
87 | typedef typename Traits::LhsPacket LhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:134:115: required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’
134 | general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,Conjugate,RhsScalar,RhsMapper,false>::run(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
135 | r, actualPanelWidth,
| ~~~~~~~~~~~~~~~~~~~~
136 | LhsMapper(&lhs.coeffRef(endBlock,startBlock), lhsStride),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
137 | RhsMapper(rhs+startBlock, 1),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
138 | rhs+endBlock, 1, RhsScalar(-1));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Side = 1; int Mode = 2]’
71 | triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
72 | (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
73 | ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; _MatrixType = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 2]’
181 | internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
182 | Side, Mode>::run(derived().nestedExpression(), otherCopy);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; _MatrixType = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 2]’
522 | { return solveInPlace<OnTheLeft>(other); }
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:570:20: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
rcpp_compute_grid.cpp:30:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
30 | solver.update_intercept();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
52 | unpacket_traits<_RhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
59 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
60 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
61 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 1>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’
91 | typedef typename HalfTraits::LhsPacket LhsPacketHalf;
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:134:115: required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’
134 | general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,Conjugate,RhsScalar,RhsMapper,false>::run(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
135 | r, actualPanelWidth,
| ~~~~~~~~~~~~~~~~~~~~
136 | LhsMapper(&lhs.coeffRef(endBlock,startBlock), lhsStride),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
137 | RhsMapper(rhs+startBlock, 1),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
138 | rhs+endBlock, 1, RhsScalar(-1));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Side = 1; int Mode = 2]’
71 | triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
72 | (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
73 | ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; _MatrixType = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 2]’
181 | internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
182 | Side, Mode>::run(derived().nestedExpression(), otherCopy);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; _MatrixType = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 2]’
522 | { return solveInPlace<OnTheLeft>(other); }
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:570:20: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
rcpp_compute_grid.cpp:30:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
30 | solver.update_intercept();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
52 | unpacket_traits<_RhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
59 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
60 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
61 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 2>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’
95 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:134:115: required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’
134 | general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,Conjugate,RhsScalar,RhsMapper,false>::run(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
135 | r, actualPanelWidth,
| ~~~~~~~~~~~~~~~~~~~~
136 | LhsMapper(&lhs.coeffRef(endBlock,startBlock), lhsStride),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
137 | RhsMapper(rhs+startBlock, 1),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
138 | rhs+endBlock, 1, RhsScalar(-1));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Side = 1; int Mode = 2]’
71 | triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
72 | (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
73 | ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; _MatrixType = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 2]’
181 | internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
182 | Side, Mode>::run(derived().nestedExpression(), otherCopy);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; _MatrixType = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 2]’
522 | { return solveInPlace<OnTheLeft>(other); }
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:570:20: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
rcpp_compute_grid.cpp:30:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
30 | solver.update_intercept();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
52 | unpacket_traits<_RhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
59 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
60 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
61 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:454:3: required from ‘Eigen::FullPivHouseholderQR<_MatrixType>& Eigen::FullPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
454 | computeInPlace();
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:362:40: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
362 | b_diff = H.fullPivHouseholderQr().solve(minus_grad);
| ~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:454:3: required from ‘Eigen::FullPivHouseholderQR<_MatrixType>& Eigen::FullPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
454 | computeInPlace();
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:362:40: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
362 | b_diff = H.fullPivHouseholderQr().solve(minus_grad);
| ~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Func = generic_product_impl<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’
280 | func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:454:3: required from ‘Eigen::FullPivHouseholderQR<_MatrixType>& Eigen::FullPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
454 | computeInPlace();
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:362:40: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
362 | b_diff = H.fullPivHouseholderQr().solve(minus_grad);
| ~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:363:15: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
363 | xbeta += X_1_E_C * b_diff;
| ~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:363:15: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
363 | xbeta += X_1_E_C * b_diff;
| ~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Functor = swap_assign_op<double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Func = swap_assign_op<double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>]’
424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:562:18: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
rcpp_compute_grid.cpp:30:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
30 | solver.update_intercept();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1, 3>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
rcpp_compute_grid.cpp:30:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
30 | solver.update_intercept();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 4>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
rcpp_compute_grid.cpp:30:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
30 | solver.update_intercept();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’
370 | typedef typename nested_eval<Rhs,1>::type RhsNested;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
478 | return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>’
369 | typedef typename nested_eval<Lhs,1>::type LhsNested;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
485 | return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
98 | return numext::real((*this).cwiseAbs2().sum());
| ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
78 | RealScalar tailSqNorm = size()==1 ? RealScalar(0) : tail.squaredNorm();
| ~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:454:3: required from ‘Eigen::FullPivHouseholderQR<_MatrixType>& Eigen::FullPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
454 | computeInPlace();
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:362:40: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
362 | b_diff = H.fullPivHouseholderQr().solve(minus_grad);
| ~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double]’
347 | return derived() = Constant(rows(), cols(), val);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >]’
548 | return setConstant(Scalar(0));
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:454:3: required from ‘Eigen::FullPivHouseholderQR<_MatrixType>& Eigen::FullPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
454 | computeInPlace();
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:362:40: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
362 | b_diff = H.fullPivHouseholderQr().solve(minus_grad);
| ~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:454:3: required from ‘Eigen::FullPivHouseholderQR<_MatrixType>& Eigen::FullPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
454 | computeInPlace();
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:362:40: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
362 | b_diff = H.fullPivHouseholderQr().solve(minus_grad);
| ~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:454:3: required from ‘Eigen::FullPivHouseholderQR<_MatrixType>& Eigen::FullPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
454 | computeInPlace();
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:362:40: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
362 | b_diff = H.fullPivHouseholderQr().solve(minus_grad);
| ~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:363:15: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
363 | xbeta += X_1_E_C * b_diff;
| ~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
296 | dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size());
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:363:15: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
363 | xbeta += X_1_E_C * b_diff;
| ~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >; Functor = mul_assign_op<double, double>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >; Functor = Eigen::internal::mul_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >; Func = mul_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >; Func = mul_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:28: required from ‘Derived& Eigen::DenseBase<Derived>::operator*=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
20 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:123:11: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
rcpp_compute_grid.cpp:30:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
30 | solver.update_intercept();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
rcpp_compute_grid.cpp:30:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
30 | solver.update_intercept();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = assign_op<double, double>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:454:3: required from ‘Eigen::FullPivHouseholderQR<_MatrixType>& Eigen::FullPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
454 | computeInPlace();
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:362:40: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
362 | b_diff = H.fullPivHouseholderQr().solve(minus_grad);
| ~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:454:3: required from ‘Eigen::FullPivHouseholderQR<_MatrixType>& Eigen::FullPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
454 | computeInPlace();
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:362:40: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
362 | b_diff = H.fullPivHouseholderQr().solve(minus_grad);
| ~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:454:3: required from ‘Eigen::FullPivHouseholderQR<_MatrixType>& Eigen::FullPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
454 | computeInPlace();
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:362:40: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
362 | b_diff = H.fullPivHouseholderQr().solve(minus_grad);
| ~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:454:3: required from ‘Eigen::FullPivHouseholderQR<_MatrixType>& Eigen::FullPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
454 | computeInPlace();
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:362:40: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
362 | b_diff = H.fullPivHouseholderQr().solve(minus_grad);
| ~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:363:15: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
363 | xbeta += X_1_E_C * b_diff;
| ~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:363:15: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
363 | xbeta += X_1_E_C * b_diff;
| ~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, -1, 1, true, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, -1, 1, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, -1, 1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:52: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:43: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]’
366 | dest += (alpha*actual_rhs.coeff(k)) * lhs.col(k);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’
207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
| ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:454:3: required from ‘Eigen::FullPivHouseholderQR<_MatrixType>& Eigen::FullPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
454 | computeInPlace();
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:362:40: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
362 | b_diff = H.fullPivHouseholderQr().solve(minus_grad);
| ~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:454:3: required from ‘Eigen::FullPivHouseholderQR<_MatrixType>& Eigen::FullPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
454 | computeInPlace();
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:362:40: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
362 | b_diff = H.fullPivHouseholderQr().solve(minus_grad);
| ~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:454:3: required from ‘Eigen::FullPivHouseholderQR<_MatrixType>& Eigen::FullPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
454 | computeInPlace();
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:362:40: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
362 | b_diff = H.fullPivHouseholderQr().solve(minus_grad);
| ~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76: required from ‘struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’
526 | typedef typename internal::nested_eval<Lhs,Rhs::ColsAtCompileTime>::type LhsNested;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
rcpp_compute_grid.cpp:30:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
30 | solver.update_intercept();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:527:76: required from ‘struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’
527 | typedef typename internal::nested_eval<Rhs,Lhs::RowsAtCompileTime>::type RhsNested;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1> >’
29 | struct evaluator<Product<Lhs, Rhs, Options> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>; Functor = assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
rcpp_compute_grid.cpp:30:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
30 | solver.update_intercept();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:330:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:147:40: required from ‘void Eigen::internal::evaluateProductBlockingSizesHeuristic(Index&, Index&, Index&, Index) [with LhsScalar = double; RhsScalar = double; int KcFactor = 1; Index = long int]’
147 | typedef typename Traits::ResScalar ResScalar;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:342:81: required from ‘void Eigen::internal::computeProductBlockingSizes(Index&, Index&, Index&, Index) [with LhsScalar = double; RhsScalar = double; int KcFactor = 1; Index = long int]’
342 | evaluateProductBlockingSizesHeuristic<LhsScalar, RhsScalar, KcFactor, Index>(k, m, n, num_threads);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:355:66: required from ‘Eigen::internal::gemm_blocking_space<StorageOrder, _LhsScalar, _RhsScalar, MaxRows, MaxCols, MaxDepth, KcFactor, false>::gemm_blocking_space(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, bool) [with int StorageOrder = 0; _LhsScalar = double; _RhsScalar = double; int MaxRows = -1; int MaxCols = -1; int MaxDepth = -1; int KcFactor = 1; Eigen::Index = long int]’
355 | computeProductBlockingSizes<LhsScalar,RhsScalar,KcFactor>(this->m_kc, this->m_mc, this->m_nc, num_threads);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:507:18: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
507 | BlockingType blocking(dst.rows(), dst.cols(), lhs.cols(), 1, true);
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
460 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
461 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
462 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
465 | typedef QuadPacket<RhsPacket> RhsPacketx4;
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 1>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel<double, double, long int, Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>, 4, 4, false, false>’
1080 | typedef typename HalfTraits::LhsPacket LhsPacketHalf;
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’
82 | gebp_kernel<LhsScalar, RhsScalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, double, 0, false, double, 0, false, 0, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’
230 | Gemm::run(rows, cols, m_lhs.cols(),
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
234 | m_actualAlpha, m_blocking, info);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<double, long int, general_matrix_matrix_product<long int, double, 0, false, double, 0, false, 0, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’
114 | func(0,rows, 0,cols);
| ~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
460 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
461 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
462 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
465 | typedef QuadPacket<RhsPacket> RhsPacketx4;
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 2>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel<double, double, long int, Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>, 4, 4, false, false>’
1085 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’
82 | gebp_kernel<LhsScalar, RhsScalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, double, 0, false, double, 0, false, 0, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’
230 | Gemm::run(rows, cols, m_lhs.cols(),
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
234 | m_actualAlpha, m_blocking, info);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<double, long int, general_matrix_matrix_product<long int, double, 0, false, double, 0, false, 0, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’
114 | func(0,rows, 0,cols);
| ~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
460 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
461 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
462 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
465 | typedef QuadPacket<RhsPacket> RhsPacketx4;
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:363:15: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
363 | xbeta += X_1_E_C * b_diff;
| ~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:363:15: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
363 | xbeta += X_1_E_C * b_diff;
| ~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
1043 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
rcpp_compute_grid.cpp:30:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
30 | solver.update_intercept();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
rcpp_compute_grid.cpp:30:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
30 | solver.update_intercept();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:184:17: required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’
184 | pack_lhs(blockA, lhs.getSubMapper(i2,k2), actual_kc, actual_mc);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, double, 0, false, double, 0, false, 0, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’
230 | Gemm::run(rows, cols, m_lhs.cols(),
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
234 | m_actualAlpha, m_blocking, info);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<double, long int, general_matrix_matrix_product<long int, double, 0, false, double, 0, false, 0, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’
114 | func(0,rows, 0,cols);
| ~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2100 | typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2102 | HalfPacketSize = unpacket_traits<HalfPacket>::size,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2103 | QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:195:21: required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’
195 | pack_rhs(blockB, rhs.getSubMapper(k2,j2), actual_kc, actual_nc);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, double, 0, false, double, 0, false, 0, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’
230 | Gemm::run(rows, cols, m_lhs.cols(),
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
234 | m_actualAlpha, m_blocking, info);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<double, long int, general_matrix_matrix_product<long int, double, 0, false, double, 0, false, 0, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’
114 | func(0,rows, 0,cols);
| ~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
2459 | PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:198:15: required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’
198 | gebp(res.getSubMapper(i2, j2), blockA, blockB, actual_mc, actual_kc, actual_nc, alpha);
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, double, 0, false, double, 0, false, 0, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’
230 | Gemm::run(rows, cols, m_lhs.cols(),
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
234 | m_actualAlpha, m_blocking, info);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<double, long int, general_matrix_matrix_product<long int, double, 0, false, double, 0, false, 0, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’
114 | func(0,rows, 0,cols);
| ~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
1920 | const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
1921 | const int SResPacketQuarterSize = unpacket_traits<typename unpacket_traits<typename unpacket_traits<SResPacket>::half>::half>::size;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
1977 | typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
1978 | typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
1979 | typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SRhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
1980 | typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:454:3: required from ‘Eigen::FullPivHouseholderQR<_MatrixType>& Eigen::FullPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
454 | computeInPlace();
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:362:40: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
362 | b_diff = H.fullPivHouseholderQr().solve(minus_grad);
| ~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:454:3: required from ‘Eigen::FullPivHouseholderQR<_MatrixType>& Eigen::FullPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
454 | computeInPlace();
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:362:40: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
362 | b_diff = H.fullPivHouseholderQr().solve(minus_grad);
| ~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op<double, double>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>]’
164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:454:3: required from ‘Eigen::FullPivHouseholderQR<_MatrixType>& Eigen::FullPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
454 | computeInPlace();
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:362:40: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
362 | b_diff = H.fullPivHouseholderQr().solve(minus_grad);
| ~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long int]’
606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:454:3: required from ‘Eigen::FullPivHouseholderQR<_MatrixType>& Eigen::FullPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
454 | computeInPlace();
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:362:40: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
362 | b_diff = H.fullPivHouseholderQr().solve(minus_grad);
| ~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
rcpp_compute_grid.cpp:30:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
30 | solver.update_intercept();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
rcpp_compute_grid.cpp:30:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
30 | solver.update_intercept();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
rcpp_compute_grid.cpp:30:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
30 | solver.update_intercept();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’
606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
rcpp_compute_grid.cpp:30:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
30 | solver.update_intercept();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, 1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
rcpp_compute_grid.cpp:30:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
30 | solver.update_intercept();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
rcpp_compute_grid.cpp:30:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
30 | solver.update_intercept();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
rcpp_compute_grid.cpp:30:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
30 | solver.update_intercept();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’
606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
rcpp_compute_grid.cpp:30:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
30 | solver.update_intercept();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, -1, 1, true> >; Functor = add_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, -1, 1, true> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:37:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
37 | solver.update_intercept(0, max_iterations, nu);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
rcpp_compute_grid.cpp:30:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
30 | solver.update_intercept();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
rcpp_compute_grid.cpp:30:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
30 | solver.update_intercept();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
rcpp_compute_grid.cpp:30:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
30 | solver.update_intercept();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
rcpp_compute_grid.cpp:30:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
30 | solver.update_intercept();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, 1, -1>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
rcpp_compute_grid.cpp:42:9: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
42 | VecXd tmp = (nu.transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ^~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Transpose<const Eigen::Map<Eigen::SparseMatrix<double, 0, int> > > >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase<Eigen::Transpose<const Eigen::Map<Eigen::SparseMatrix<double, 0, int> > > >’
36 | class SparseCompressedBase
| ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl<const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 1024>’
22 | class SparseTransposeImpl<MatrixType,CompressedAccessBit>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl<const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Sparse>’
45 | template<typename MatrixType> class TransposeImpl<MatrixType,Sparse>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Map<Eigen::SparseMatrix<double, 0, int> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:216:60: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::SparseShape, ProductType>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, 1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; int ProductType = 7; Scalar = double]’
216 | internal::sparse_time_dense_product(rhsNested.transpose(), lhsNested.transpose(), dstT, alpha);
| ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
rcpp_compute_grid.cpp:42:9: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
42 | VecXd tmp = (nu.transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ^~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:216:83: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
rcpp_compute_grid.cpp:42:9: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
42 | VecXd tmp = (nu.transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ^~~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
rcpp_compute_grid.cpp:42:9: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
42 | VecXd tmp = (nu.transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ^~~
rcpp_compute_grid.cpp:66:40: required from here
66 | return computeLambdaMaxRcpp<MapMat>(Gmap, E, Y, C, weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
rcpp_compute_grid.cpp:42:9: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
42 | VecXd tmp = (nu.transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ^~~
rcpp_compute_grid.cpp:66:40: required from here
66 | return computeLambdaMaxRcpp<MapMat>(Gmap, E, Y, C, weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’
606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long int]’
654 | m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
| ~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
rcpp_compute_grid.cpp:30:28: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
30 | solver.update_intercept();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_compute_grid.cpp:60:46: required from here
60 | return computeLambdaMaxRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
61 | weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
rcpp_compute_grid.cpp:42:9: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
42 | VecXd tmp = (nu.transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ^~~
rcpp_compute_grid.cpp:66:40: required from here
66 | return computeLambdaMaxRcpp<MapMat>(Gmap, E, Y, C, weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, true, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
rcpp_compute_grid.cpp:44:7: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
44 | tmp = (normalize_weights_e * nu.cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:66:40: required from here
66 | return computeLambdaMaxRcpp<MapMat>(Gmap, E, Y, C, weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
rcpp_compute_grid.cpp:42:9: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
42 | VecXd tmp = (nu.transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ^~~
rcpp_compute_grid.cpp:66:40: required from here
66 | return computeLambdaMaxRcpp<MapMat>(Gmap, E, Y, C, weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
rcpp_compute_grid.cpp:42:9: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
42 | VecXd tmp = (nu.transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ^~~
rcpp_compute_grid.cpp:66:40: required from here
66 | return computeLambdaMaxRcpp<MapMat>(Gmap, E, Y, C, weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
rcpp_compute_grid.cpp:42:9: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
42 | VecXd tmp = (nu.transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ^~~
rcpp_compute_grid.cpp:66:40: required from here
66 | return computeLambdaMaxRcpp<MapMat>(Gmap, E, Y, C, weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
rcpp_compute_grid.cpp:42:9: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
42 | VecXd tmp = (nu.transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ^~~
rcpp_compute_grid.cpp:66:40: required from here
66 | return computeLambdaMaxRcpp<MapMat>(Gmap, E, Y, C, weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
rcpp_compute_grid.cpp:42:9: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
42 | VecXd tmp = (nu.transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ^~~
rcpp_compute_grid.cpp:66:40: required from here
66 | return computeLambdaMaxRcpp<MapMat>(Gmap, E, Y, C, weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Dest = Eigen::Matrix<double, 1, -1>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’
207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
| ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
rcpp_compute_grid.cpp:44:7: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
44 | tmp = (normalize_weights_e * nu.cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:66:40: required from here
66 | return computeLambdaMaxRcpp<MapMat>(Gmap, E, Y, C, weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
rcpp_compute_grid.cpp:44:7: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
44 | tmp = (normalize_weights_e * nu.cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:66:40: required from here
66 | return computeLambdaMaxRcpp<MapMat>(Gmap, E, Y, C, weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
rcpp_compute_grid.cpp:44:7: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
44 | tmp = (normalize_weights_e * nu.cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:66:40: required from here
66 | return computeLambdaMaxRcpp<MapMat>(Gmap, E, Y, C, weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: required from ‘struct Eigen::internal::blas_traits<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > > >’
506 | >::type DirectLinearAccessType;
| ^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:316:60: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
rcpp_compute_grid.cpp:44:7: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
44 | tmp = (normalize_weights_e * nu.cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:66:40: required from here
66 | return computeLambdaMaxRcpp<MapMat>(Gmap, E, Y, C, weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
rcpp_compute_grid.cpp:42:9: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
42 | VecXd tmp = (nu.transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ^~~
rcpp_compute_grid.cpp:66:40: required from here
66 | return computeLambdaMaxRcpp<MapMat>(Gmap, E, Y, C, weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
rcpp_compute_grid.cpp:42:9: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
42 | VecXd tmp = (nu.transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ^~~
rcpp_compute_grid.cpp:66:40: required from here
66 | return computeLambdaMaxRcpp<MapMat>(Gmap, E, Y, C, weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
rcpp_compute_grid.cpp:44:7: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
44 | tmp = (normalize_weights_e * nu.cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:66:40: required from here
66 | return computeLambdaMaxRcpp<MapMat>(Gmap, E, Y, C, weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
rcpp_compute_grid.cpp:42:9: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
42 | VecXd tmp = (nu.transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ^~~
rcpp_compute_grid.cpp:66:40: required from here
66 | return computeLambdaMaxRcpp<MapMat>(Gmap, E, Y, C, weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Derived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
rcpp_compute_grid.cpp:44:7: required from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; std::string = std::__cxx11::basic_string<char>]’
44 | tmp = (normalize_weights_e * nu.cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp:66:40: required from here
66 | return computeLambdaMaxRcpp<MapMat>(Gmap, E, Y, C, weights, normalize, family);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
In file included from rcpp_compute_grid.cpp:9:
BinomialSolver.h: In instantiation of ‘double BinomialSolver<TG>::get_test_loss(const std::vector<int>&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’:
BinomialSolver.h:420:20: required from here
420 | virtual double get_test_loss(const std::vector<int>& test_idx) {
| ^~~~~~~~~~~~~
BinomialSolver.h:423:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
423 | for (int i = 0; i < test_idx.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
In file included from rcpp_compute_grid.cpp:8:
GaussianSolver.h: In instantiation of ‘double GaussianSolver<TG>::get_test_loss(const std::vector<int>&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’:
GaussianSolver.h:346:20: required from here
346 | virtual double get_test_loss(const std::vector<int>& test_idx) {
| ^~~~~~~~~~~~~
GaussianSolver.h:349:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
349 | for (int i = 0; i < test_idx.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
BinomialSolver.h: In instantiation of ‘double BinomialSolver<TG>::get_test_loss(const std::vector<int>&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’:
BinomialSolver.h:420:20: required from here
420 | virtual double get_test_loss(const std::vector<int>& test_idx) {
| ^~~~~~~~~~~~~
BinomialSolver.h:423:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
423 | for (int i = 0; i < test_idx.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
GaussianSolver.h: In instantiation of ‘double GaussianSolver<TG>::get_test_loss(const std::vector<int>&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’:
GaussianSolver.h:346:20: required from here
346 | virtual double get_test_loss(const std::vector<int>& test_idx) {
| ^~~~~~~~~~~~~
GaussianSolver.h:349:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
349 | for (int i = 0; i < test_idx.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
BinomialSolver.h:341:27: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
341 | primal_objective = (-Y.cwiseProduct(xbeta) + log_one_plus_exp(xbeta)).dot(weights_user) + lambda_1 * (b_g.cwiseAbs().cwiseMax(b_gxe.cwiseAbs())).sum() + lambda_2 * b_gxe.cwiseAbs().sum();
| ^~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:341:50: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
341 | primal_objective = (-Y.cwiseProduct(xbeta) + log_one_plus_exp(xbeta)).dot(weights_user) + lambda_1 * (b_g.cwiseAbs().cwiseMax(b_gxe.cwiseAbs())).sum() + lambda_2 * b_gxe.cwiseAbs().sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:341:132: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
341 | primal_objective = (-Y.cwiseProduct(xbeta) + log_one_plus_exp(xbeta)).dot(weights_user) + lambda_1 * (b_g.cwiseAbs().cwiseMax(b_gxe.cwiseAbs())).sum() + lambda_2 * b_gxe.cwiseAbs().sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:378:82: required from ‘void BinomialSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
378 | ArrayXd d_j = (lambda_1 - lambda_2 - (abs_nu_by_G).array() - (lambda_2 - r * norm_GxE.array()).max((abs_nu_by_GxE).array())) / (norm_GxE + norm_G).array();
| ~~^~~~~~~~~~~~~~~~~~
BinomialSolver.h:207:9: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
207 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:378:78: required from ‘void BinomialSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
378 | ArrayXd d_j = (lambda_1 - lambda_2 - (abs_nu_by_G).array() - (lambda_2 - r * norm_GxE.array()).max((abs_nu_by_GxE).array())) / (norm_GxE + norm_G).array();
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:207:9: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
207 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:378:105: required from ‘void BinomialSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
378 | ArrayXd d_j = (lambda_1 - lambda_2 - (abs_nu_by_G).array() - (lambda_2 - r * norm_GxE.array()).max((abs_nu_by_GxE).array())) / (norm_GxE + norm_G).array();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:207:9: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
207 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:378:66: required from ‘void BinomialSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
378 | ArrayXd d_j = (lambda_1 - lambda_2 - (abs_nu_by_G).array() - (lambda_2 - r * norm_GxE.array()).max((abs_nu_by_GxE).array())) / (norm_GxE + norm_G).array();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:207:9: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
207 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:378:144: required from ‘void BinomialSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
378 | ArrayXd d_j = (lambda_1 - lambda_2 - (abs_nu_by_G).array() - (lambda_2 - r * norm_GxE.array()).max((abs_nu_by_GxE).array())) / (norm_GxE + norm_G).array();
| ~~~~~~~~~~^~~~~~~~~
BinomialSolver.h:207:9: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
207 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
BinomialSolver.h:378:159: required from ‘void BinomialSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
378 | ArrayXd d_j = (lambda_1 - lambda_2 - (abs_nu_by_G).array() - (lambda_2 - r * norm_GxE.array()).max((abs_nu_by_GxE).array())) / (norm_GxE + norm_G).array();
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~
BinomialSolver.h:207:9: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
207 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:378:132: required from ‘void BinomialSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
378 | ArrayXd d_j = (lambda_1 - lambda_2 - (abs_nu_by_G).array() - (lambda_2 - r * norm_GxE.array()).max((abs_nu_by_GxE).array())) / (norm_GxE + norm_G).array();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:207:9: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
207 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:380:40: required from ‘void BinomialSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
380 | upperbound_nu_by_G = abs_nu_by_G + r * norm_G;
| ~~~~~~~~~~~~^~~~~~~~~~~~
BinomialSolver.h:207:9: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
207 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:390:65: required from ‘void BinomialSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
390 | xbeta -= normalize_weights_e * normalize_weights_g[i] * G.col(i).cwiseProduct(E) * b_gxe[i];
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:207:9: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
207 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:390:92: required from ‘void BinomialSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
390 | xbeta -= normalize_weights_e * normalize_weights_g[i] * G.col(i).cwiseProduct(E) * b_gxe[i];
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
BinomialSolver.h:207:9: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
207 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:395:43: required from ‘void BinomialSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
395 | xbeta -= normalize_weights_g[i] * G.col(i) * b_g[i];
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
BinomialSolver.h:207:9: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
207 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:395:54: required from ‘void BinomialSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
395 | xbeta -= normalize_weights_g[i] * G.col(i) * b_g[i];
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
BinomialSolver.h:207:9: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
207 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
BinomialSolver.h: In instantiation of ‘void BinomialSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’:
BinomialSolver.h:207:9: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
207 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
BinomialSolver.h:410:93: warning: comparison of integer expressions of different signedness: ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
410 | if (b_g[index] == 0 && b_gxe[index] == 0 && safe_set_g[index] && working_set.size() < working_set_size) {
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
BinomialSolver.h:251:83: required from ‘void BinomialSolver<TG>::update_quadratic_approximation() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
251 | weights.array() = temp_n.array() * (1 - temp_n.array()) * weights_user.array();
| ~~~~~~~~~~~~~~~~~~^~
BinomialSolver.h:224:13: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
224 | update_quadratic_approximation();
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:251:63: required from ‘void BinomialSolver<TG>::update_quadratic_approximation() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
251 | weights.array() = temp_n.array() * (1 - temp_n.array()) * weights_user.array();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:224:13: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
224 | update_quadratic_approximation();
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:257:68: required from ‘void BinomialSolver<TG>::update_quadratic_approximation() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
257 | Z_w = xbeta.cwiseProduct(weights) + (Y - temp_n).cwiseProduct(weights_user);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
BinomialSolver.h:224:13: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
224 | update_quadratic_approximation();
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:257:41: required from ‘void BinomialSolver<TG>::update_quadratic_approximation() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
257 | Z_w = xbeta.cwiseProduct(weights) + (Y - temp_n).cwiseProduct(weights_user);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:224:13: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
224 | update_quadratic_approximation();
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
Solver.h: In instantiation of ‘double Solver<TG>::update_b_for_working_set(double, double, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’:
BinomialSolver.h:232:48: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
232 | max_diff = update_b_for_working_set(lambda_1, lambda_2, false);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
Solver.h:278:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
278 | for (int k = 0; k < working_set.size(); ++k) {
| ~~^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > >’
140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
| ^~~~~~~~~~~~~
Solver.h:286:143: required from ‘double Solver<TG>::update_b_for_working_set(double, double, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
286 | xbeta -= normalize_weights_g[index] * G.col(index).cwiseProduct((b_g[index] + ((normalize_weights_e * b_gxe[index]) * E).array()).matrix());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
BinomialSolver.h:232:48: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
232 | max_diff = update_b_for_working_set(lambda_1, lambda_2, false);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:286:70: required from ‘double Solver<TG>::update_b_for_working_set(double, double, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
286 | xbeta -= normalize_weights_g[index] * G.col(index).cwiseProduct((b_g[index] + ((normalize_weights_e * b_gxe[index]) * E).array()).matrix());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:232:48: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
232 | max_diff = update_b_for_working_set(lambda_1, lambda_2, false);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:286:43: required from ‘double Solver<TG>::update_b_for_working_set(double, double, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
286 | xbeta -= normalize_weights_g[index] * G.col(index).cwiseProduct((b_g[index] + ((normalize_weights_e * b_gxe[index]) * E).array()).matrix());
BinomialSolver.h:232:48: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
232 | max_diff = update_b_for_working_set(lambda_1, lambda_2, false);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:288:93: required from ‘double Solver<TG>::update_b_for_working_set(double, double, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
288 | temp_n = normalize_weights_g[index] * (Z_w - xbeta.cwiseProduct(weights)).cwiseProduct(G.col(index));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
BinomialSolver.h:232:48: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
232 | max_diff = update_b_for_working_set(lambda_1, lambda_2, false);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:288:43: required from ‘double Solver<TG>::update_b_for_working_set(double, double, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
288 | temp_n = normalize_weights_g[index] * (Z_w - xbeta.cwiseProduct(weights)).cwiseProduct(G.col(index));
BinomialSolver.h:232:48: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
232 | max_diff = update_b_for_working_set(lambda_1, lambda_2, false);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:351:78: required from ‘double Solver<TG>::update_b_for_working_set(double, double, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
351 | xbeta += normalize_weights_g[index] * (b_g[index] * G.col(index) + normalize_weights_e * G.col(index).cwiseProduct(E) * b_gxe[index]);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:232:48: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
232 | max_diff = update_b_for_working_set(lambda_1, lambda_2, false);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:351:49: required from ‘double Solver<TG>::update_b_for_working_set(double, double, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
351 | xbeta += normalize_weights_g[index] * (b_g[index] * G.col(index) + normalize_weights_e * G.col(index).cwiseProduct(E) * b_gxe[index]);
BinomialSolver.h:232:48: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
232 | max_diff = update_b_for_working_set(lambda_1, lambda_2, false);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
Solver.h: In instantiation of ‘double Solver<TG>::update_b_for_working_set(double, double, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’:
BinomialSolver.h:232:48: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
232 | max_diff = update_b_for_working_set(lambda_1, lambda_2, false);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
Solver.h:271:12: warning: unused variable ‘b_0_old’ [-Wunused-variable]
271 | double b_0_old, b_e_old, b_g_old, b_gxe_old, b_g_new;
| ^~~~~~~
Solver.h:271:21: warning: unused variable ‘b_e_old’ [-Wunused-variable]
271 | double b_0_old, b_e_old, b_g_old, b_gxe_old, b_g_new;
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GaussianSolver.h:274:42: required from ‘void GaussianSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
274 | ArrayXd d_j = (lambda_1 - lambda_2 - (std::fabs(x_opt) * abs_res_by_G).array() - (lambda_2 - r * norm_GxE.array()).max((std::fabs(x_opt) * abs_res_by_GxE).array())) / (norm_GxE + norm_G).array();
| ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:163:9: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
163 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GaussianSolver.h:274:125: required from ‘void GaussianSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
274 | ArrayXd d_j = (lambda_1 - lambda_2 - (std::fabs(x_opt) * abs_res_by_G).array() - (lambda_2 - r * norm_GxE.array()).max((std::fabs(x_opt) * abs_res_by_GxE).array())) / (norm_GxE + norm_G).array();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:163:9: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
163 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GaussianSolver.h:274:86: required from ‘void GaussianSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
274 | ArrayXd d_j = (lambda_1 - lambda_2 - (std::fabs(x_opt) * abs_res_by_G).array() - (lambda_2 - r * norm_GxE.array()).max((std::fabs(x_opt) * abs_res_by_GxE).array())) / (norm_GxE + norm_G).array();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:163:9: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
163 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GaussianSolver.h:274:172: required from ‘void GaussianSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
274 | ArrayXd d_j = (lambda_1 - lambda_2 - (std::fabs(x_opt) * abs_res_by_G).array() - (lambda_2 - r * norm_GxE.array()).max((std::fabs(x_opt) * abs_res_by_GxE).array())) / (norm_GxE + norm_G).array();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:163:9: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
163 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GaussianSolver.h:276:60: required from ‘void GaussianSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
276 | upperbound_nu_by_G = std::fabs(x_opt) * abs_res_by_G + r * norm_G;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
GaussianSolver.h:163:9: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
163 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
GaussianSolver.h: In instantiation of ‘void GaussianSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’:
GaussianSolver.h:163:9: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
163 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
GaussianSolver.h:306:93: warning: comparison of integer expressions of different signedness: ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
306 | if (b_g[index] == 0 && b_gxe[index] == 0 && safe_set_g[index] && working_set.size() < working_set_size) {
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, Eigen::Sparse>’
36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:390:88: required from ‘void BinomialSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
390 | xbeta -= normalize_weights_e * normalize_weights_g[i] * G.col(i).cwiseProduct(E) * b_gxe[i];
| ~~~~~~~~~~~~~~~~~~~~~^~~
BinomialSolver.h:207:9: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
207 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, Eigen::Sparse>’
36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:390:65: required from ‘void BinomialSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
390 | xbeta -= normalize_weights_e * normalize_weights_g[i] * G.col(i).cwiseProduct(E) * b_gxe[i];
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:207:9: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
207 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Sparse>’
36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:390:92: required from ‘void BinomialSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
390 | xbeta -= normalize_weights_e * normalize_weights_g[i] * G.col(i).cwiseProduct(E) * b_gxe[i];
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
BinomialSolver.h:207:9: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
207 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> > >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, Eigen::Sparse>’
36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:395:43: required from ‘void BinomialSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
395 | xbeta -= normalize_weights_g[i] * G.col(i) * b_g[i];
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
BinomialSolver.h:207:9: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
207 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Sparse>’
36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:395:54: required from ‘void BinomialSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
395 | xbeta -= normalize_weights_g[i] * G.col(i) * b_g[i];
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
BinomialSolver.h:207:9: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
207 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
BinomialSolver.h: In instantiation of ‘void BinomialSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’:
BinomialSolver.h:207:9: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
207 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
BinomialSolver.h:410:93: warning: comparison of integer expressions of different signedness: ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
410 | if (b_g[index] == 0 && b_gxe[index] == 0 && safe_set_g[index] && working_set.size() < working_set_size) {
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
Solver.h: In instantiation of ‘double Solver<TG>::update_b_for_working_set(double, double, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’:
BinomialSolver.h:232:48: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
232 | max_diff = update_b_for_working_set(lambda_1, lambda_2, false);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
Solver.h:278:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
278 | for (int k = 0; k < working_set.size(); ++k) {
| ~~^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > > > >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > >, Eigen::Sparse>’
36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:286:70: required from ‘double Solver<TG>::update_b_for_working_set(double, double, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
286 | xbeta -= normalize_weights_g[index] * G.col(index).cwiseProduct((b_g[index] + ((normalize_weights_e * b_gxe[index]) * E).array()).matrix());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:232:48: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
232 | max_diff = update_b_for_working_set(lambda_1, lambda_2, false);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > > > > >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > > >, Eigen::Sparse>’
36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:286:43: required from ‘double Solver<TG>::update_b_for_working_set(double, double, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
286 | xbeta -= normalize_weights_g[index] * G.col(index).cwiseProduct((b_g[index] + ((normalize_weights_e * b_gxe[index]) * E).array()).matrix());
BinomialSolver.h:232:48: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
232 | max_diff = update_b_for_working_set(lambda_1, lambda_2, false);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Sparse>’
36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:288:93: required from ‘double Solver<TG>::update_b_for_working_set(double, double, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
288 | temp_n = normalize_weights_g[index] * (Z_w - xbeta.cwiseProduct(weights)).cwiseProduct(G.col(index));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
BinomialSolver.h:232:48: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
232 | max_diff = update_b_for_working_set(lambda_1, lambda_2, false);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > > >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >, Eigen::Sparse>’
36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:288:43: required from ‘double Solver<TG>::update_b_for_working_set(double, double, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
288 | temp_n = normalize_weights_g[index] * (Z_w - xbeta.cwiseProduct(weights)).cwiseProduct(G.col(index));
BinomialSolver.h:232:48: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
232 | max_diff = update_b_for_working_set(lambda_1, lambda_2, false);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Sparse>’
36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:351:78: required from ‘double Solver<TG>::update_b_for_working_set(double, double, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
351 | xbeta += normalize_weights_g[index] * (b_g[index] * G.col(index) + normalize_weights_e * G.col(index).cwiseProduct(E) * b_gxe[index]);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:232:48: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
232 | max_diff = update_b_for_working_set(lambda_1, lambda_2, false);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > > >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, Eigen::Sparse>’
36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:351:49: required from ‘double Solver<TG>::update_b_for_working_set(double, double, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
351 | xbeta += normalize_weights_g[index] * (b_g[index] * G.col(index) + normalize_weights_e * G.col(index).cwiseProduct(E) * b_gxe[index]);
BinomialSolver.h:232:48: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
232 | max_diff = update_b_for_working_set(lambda_1, lambda_2, false);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
Solver.h: In instantiation of ‘double Solver<TG>::update_b_for_working_set(double, double, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’:
BinomialSolver.h:232:48: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
232 | max_diff = update_b_for_working_set(lambda_1, lambda_2, false);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
Solver.h:271:12: warning: unused variable ‘b_0_old’ [-Wunused-variable]
271 | double b_0_old, b_e_old, b_g_old, b_gxe_old, b_g_new;
| ^~~~~~~
Solver.h:271:21: warning: unused variable ‘b_e_old’ [-Wunused-variable]
271 | double b_0_old, b_e_old, b_g_old, b_gxe_old, b_g_new;
| ^~~~~~~
GaussianSolver.h: In instantiation of ‘void GaussianSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’:
GaussianSolver.h:163:9: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
163 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
GaussianSolver.h:306:93: warning: comparison of integer expressions of different signedness: ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
306 | if (b_g[index] == 0 && b_gxe[index] == 0 && safe_set_g[index] && working_set.size() < working_set_size) {
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
BinomialSolver.h:308:63: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
308 | abs_nu_by_G = (nu.cwiseProduct(weights_user).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
BinomialSolver.h:308:66: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
308 | abs_nu_by_G = (nu.cwiseProduct(weights_user).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
BinomialSolver.h:308:79: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
308 | abs_nu_by_G = (nu.cwiseProduct(weights_user).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
BinomialSolver.h:308:91: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
308 | abs_nu_by_G = (nu.cwiseProduct(weights_user).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:308:106: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
308 | abs_nu_by_G = (nu.cwiseProduct(weights_user).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:309:68: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
309 | abs_nu_by_GxE = (nu.cwiseProduct(weights_user).cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g) * normalize_weights_e;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
BinomialSolver.h:309:81: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
309 | abs_nu_by_GxE = (nu.cwiseProduct(weights_user).cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g) * normalize_weights_e;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
BinomialSolver.h:309:84: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
309 | abs_nu_by_GxE = (nu.cwiseProduct(weights_user).cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g) * normalize_weights_e;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
BinomialSolver.h:309:97: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
309 | abs_nu_by_GxE = (nu.cwiseProduct(weights_user).cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g) * normalize_weights_e;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
BinomialSolver.h:309:109: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
309 | abs_nu_by_GxE = (nu.cwiseProduct(weights_user).cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g) * normalize_weights_e;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:309:124: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
309 | abs_nu_by_GxE = (nu.cwiseProduct(weights_user).cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g) * normalize_weights_e;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:309:146: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
309 | abs_nu_by_GxE = (nu.cwiseProduct(weights_user).cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g) * normalize_weights_e;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
BinomialSolver.h: In instantiation of ‘void BinomialSolver<TG>::update_inner_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’:
BinomialSolver.h:346:7: required from ‘double BinomialSolver<TG>::check_inner_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
346 | update_inner_nu(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~
BinomialSolver.h:216:31: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
216 | inner_duality_gap = check_inner_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
BinomialSolver.h:329:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
329 | for (int i = 0; i < working_set.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:330:48: required from ‘void BinomialSolver<TG>::update_inner_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
330 | temp_n = inner_nu_weighted.cwiseProduct(G.col(working_set[i])) * normalize_weights_g[working_set[i]];
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:346:7: required from ‘double BinomialSolver<TG>::check_inner_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
346 | update_inner_nu(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~
BinomialSolver.h:216:31: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
216 | inner_duality_gap = check_inner_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:330:72: required from ‘void BinomialSolver<TG>::update_inner_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
330 | temp_n = inner_nu_weighted.cwiseProduct(G.col(working_set[i])) * normalize_weights_g[working_set[i]];
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:346:7: required from ‘double BinomialSolver<TG>::check_inner_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
346 | update_inner_nu(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~
BinomialSolver.h:216:31: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
216 | inner_duality_gap = check_inner_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GaussianSolver.h:250:40: required from ‘double GaussianSolver<TG>::update_inner_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
250 | temp_n = (Y - xbeta).cwiseProduct(weights); // weighted residual
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
GaussianSolver.h:263:34: required from ‘double GaussianSolver<TG>::check_duality_gap(double, double, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
263 | current_dual_objective = update_inner_nu(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~
GaussianSolver.h:159:23: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
159 | duality_gap = check_duality_gap(lambda_1, lambda_2, false);
| ^~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
GaussianSolver.h: In instantiation of ‘double GaussianSolver<TG>::update_inner_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’:
GaussianSolver.h:263:34: required from ‘double GaussianSolver<TG>::check_duality_gap(double, double, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
263 | current_dual_objective = update_inner_nu(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~
GaussianSolver.h:159:23: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
159 | duality_gap = check_duality_gap(lambda_1, lambda_2, false);
| ^~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
GaussianSolver.h:251:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
251 | for (int i = 0; i < working_set.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GaussianSolver.h:233:124: required from ‘double GaussianSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
233 | abs_res_by_GxE = (temp_n.cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g) * normalize_weights_e;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:265:34: required from ‘double GaussianSolver<TG>::check_duality_gap(double, double, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
265 | current_dual_objective = update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
GaussianSolver.h:159:23: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
159 | duality_gap = check_duality_gap(lambda_1, lambda_2, false);
| ^~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
BinomialSolver.h:308:66: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
308 | abs_nu_by_G = (nu.cwiseProduct(weights_user).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
BinomialSolver.h:308:79: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
308 | abs_nu_by_G = (nu.cwiseProduct(weights_user).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
BinomialSolver.h:308:91: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
308 | abs_nu_by_G = (nu.cwiseProduct(weights_user).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:308:106: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
308 | abs_nu_by_G = (nu.cwiseProduct(weights_user).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
BinomialSolver.h:309:84: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
309 | abs_nu_by_GxE = (nu.cwiseProduct(weights_user).cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g) * normalize_weights_e;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
BinomialSolver.h:309:97: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
309 | abs_nu_by_GxE = (nu.cwiseProduct(weights_user).cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g) * normalize_weights_e;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
BinomialSolver.h:309:109: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
309 | abs_nu_by_GxE = (nu.cwiseProduct(weights_user).cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g) * normalize_weights_e;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:309:124: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
309 | abs_nu_by_GxE = (nu.cwiseProduct(weights_user).cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g) * normalize_weights_e;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:309:146: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
309 | abs_nu_by_GxE = (nu.cwiseProduct(weights_user).cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g) * normalize_weights_e;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
BinomialSolver.h: In instantiation of ‘void BinomialSolver<TG>::update_inner_nu(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’:
BinomialSolver.h:346:7: required from ‘double BinomialSolver<TG>::check_inner_duality_gap(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
346 | update_inner_nu(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~
BinomialSolver.h:216:31: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
216 | inner_duality_gap = check_inner_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
BinomialSolver.h:329:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
329 | for (int i = 0; i < working_set.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Sparse>’
36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:330:48: required from ‘void BinomialSolver<TG>::update_inner_nu(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
330 | temp_n = inner_nu_weighted.cwiseProduct(G.col(working_set[i])) * normalize_weights_g[working_set[i]];
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:346:7: required from ‘double BinomialSolver<TG>::check_inner_duality_gap(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
346 | update_inner_nu(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~
BinomialSolver.h:216:31: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
216 | inner_duality_gap = check_inner_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Sparse>’
36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:330:72: required from ‘void BinomialSolver<TG>::update_inner_nu(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
330 | temp_n = inner_nu_weighted.cwiseProduct(G.col(working_set[i])) * normalize_weights_g[working_set[i]];
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:346:7: required from ‘double BinomialSolver<TG>::check_inner_duality_gap(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
346 | update_inner_nu(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~
BinomialSolver.h:216:31: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
216 | inner_duality_gap = check_inner_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
GaussianSolver.h: In instantiation of ‘double GaussianSolver<TG>::update_inner_nu(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’:
GaussianSolver.h:263:34: required from ‘double GaussianSolver<TG>::check_duality_gap(double, double, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
263 | current_dual_objective = update_inner_nu(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~
GaussianSolver.h:159:23: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
159 | duality_gap = check_duality_gap(lambda_1, lambda_2, false);
| ^~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
GaussianSolver.h:251:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
251 | for (int i = 0; i < working_set.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GaussianSolver.h:233:124: required from ‘double GaussianSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
233 | abs_res_by_GxE = (temp_n.cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g) * normalize_weights_e;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:265:34: required from ‘double GaussianSolver<TG>::check_duality_gap(double, double, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
265 | current_dual_objective = update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
GaussianSolver.h:159:23: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
159 | duality_gap = check_duality_gap(lambda_1, lambda_2, false);
| ^~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; U = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
BinomialSolver.h:341:80: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
341 | primal_objective = (-Y.cwiseProduct(xbeta) + log_one_plus_exp(xbeta)).dot(weights_user) + lambda_1 * (b_g.cwiseAbs().cwiseMax(b_gxe.cwiseAbs())).sum() + lambda_2 * b_gxe.cwiseAbs().sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
GaussianSolver.h:253:69: required from ‘double GaussianSolver<TG>::update_inner_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
253 | abs_inner_res_by_GxE[i] = std::abs(G.col(working_set[i]).dot(temp_n.cwiseProduct(E))) * normalize_weights_g[working_set[i]] * normalize_weights_e;
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:263:34: required from ‘double GaussianSolver<TG>::check_duality_gap(double, double, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
263 | current_dual_objective = update_inner_nu(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~
GaussianSolver.h:159:23: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
159 | duality_gap = check_duality_gap(lambda_1, lambda_2, false);
| ^~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:164:19: required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator[](Eigen::Index) const [with Derived = Eigen::Ref<Eigen::Matrix<double, -1, 1> >; CoeffReturnType = const double&; Eigen::Index = long int]’
164 | return coeff(index);
| ~~~~~^~~~~~~
BinomialSolver.h:279:30: required from ‘double BinomialSolver<TG>::naive_projection(double, double, const Eigen::Ref<Eigen::Matrix<double, -1, 1> >&, const Eigen::Ref<Eigen::Matrix<double, -1, 1> >&, const VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
279 | if (abs_nu_by_GxE[i] * lambda_1 - abs_nu_by_G[i] * lambda_2 <= 0) {
BinomialSolver.h:312:15: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
312 | x_opt = naive_projection(lambda_1, lambda_2, abs_nu_by_G, abs_nu_by_GxE, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:341:155: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
341 | primal_objective = (-Y.cwiseProduct(xbeta) + log_one_plus_exp(xbeta)).dot(weights_user) + lambda_1 * (b_g.cwiseAbs().cwiseMax(b_gxe.cwiseAbs())).sum() + lambda_2 * b_gxe.cwiseAbs().sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; U = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
BinomialSolver.h:341:80: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
341 | primal_objective = (-Y.cwiseProduct(xbeta) + log_one_plus_exp(xbeta)).dot(weights_user) + lambda_1 * (b_g.cwiseAbs().cwiseMax(b_gxe.cwiseAbs())).sum() + lambda_2 * b_gxe.cwiseAbs().sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
GaussianSolver.h:253:69: required from ‘double GaussianSolver<TG>::update_inner_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
253 | abs_inner_res_by_GxE[i] = std::abs(G.col(working_set[i]).dot(temp_n.cwiseProduct(E))) * normalize_weights_g[working_set[i]] * normalize_weights_e;
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:263:34: required from ‘double GaussianSolver<TG>::check_duality_gap(double, double, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
263 | current_dual_objective = update_inner_nu(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~
GaussianSolver.h:159:23: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
159 | duality_gap = check_duality_gap(lambda_1, lambda_2, false);
| ^~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:308:21: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
308 | abs_nu_by_G = (nu.cwiseProduct(weights_user).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Dest = Eigen::Matrix<double, 1, -1>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’
207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
| ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:308:21: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
308 | abs_nu_by_G = (nu.cwiseProduct(weights_user).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:308:21: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
308 | abs_nu_by_G = (nu.cwiseProduct(weights_user).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:308:21: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
308 | abs_nu_by_G = (nu.cwiseProduct(weights_user).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:308:21: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
308 | abs_nu_by_G = (nu.cwiseProduct(weights_user).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:309:23: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
309 | abs_nu_by_GxE = (nu.cwiseProduct(weights_user).cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g) * normalize_weights_e;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Dest = Eigen::Matrix<double, 1, -1>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’
207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
| ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:309:23: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
309 | abs_nu_by_GxE = (nu.cwiseProduct(weights_user).cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g) * normalize_weights_e;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:308:21: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
308 | abs_nu_by_G = (nu.cwiseProduct(weights_user).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:309:23: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
309 | abs_nu_by_GxE = (nu.cwiseProduct(weights_user).cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g) * normalize_weights_e;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:309:23: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
309 | abs_nu_by_GxE = (nu.cwiseProduct(weights_user).cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g) * normalize_weights_e;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:309:23: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
309 | abs_nu_by_GxE = (nu.cwiseProduct(weights_user).cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g) * normalize_weights_e;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:309:23: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
309 | abs_nu_by_GxE = (nu.cwiseProduct(weights_user).cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g) * normalize_weights_e;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:255:
In copy constructor ‘Eigen::internal::scalar_constant_op<Scalar>::scalar_constant_op(const Eigen::internal::scalar_constant_op<Scalar>&) [with Scalar = double]’,
inlined from ‘Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >::CwiseNullaryOp(const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >&)’ at /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7,
inlined from ‘Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >::CwiseBinaryOp(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >&)’ at /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7,
inlined from ‘Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0>::Product(const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0>&)’ at /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7,
inlined from ‘Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> >::CwiseUnaryOp(const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> >&)’ at /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7,
inlined from ‘Eigen::Transpose<MatrixType>::Transpose(const Eigen::Transpose<MatrixType>&) [with MatrixType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> >]’ at /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:66:5,
inlined from ‘Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::CwiseBinaryOp(const Lhs&, const Rhs&, const BinaryOp&) [with BinaryOp = Eigen::internal::scalar_product_op<double, double>; LhsType = const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >; RhsType = const Eigen::Matrix<double, -1, 1>]’ at /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:111:9,
inlined from ‘const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>, const Derived, const OtherDerived> Eigen::MatrixBase<Derived>::cwiseProduct(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >]’ at /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/../plugins/MatrixCwiseBinaryOps.h:25:97,
inlined from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’ at rcpp_compute_grid.cpp:44:103:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/functors/NullaryFunctors.h:19:95: warning: ‘normalize_weights_e’ may be used uninitialized [-Wmaybe-uninitialized]
19 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE scalar_constant_op(const scalar_constant_op& other) : m_other(other.m_other) { }
| ^~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp: In function ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’:
rcpp_compute_grid.cpp:26:10: note: ‘normalize_weights_e’ was declared here
26 | double normalize_weights_e;
| ^~~~~~~~~~~~~~~~~~~
In copy constructor ‘Eigen::internal::scalar_constant_op<Scalar>::scalar_constant_op(const Eigen::internal::scalar_constant_op<Scalar>&) [with Scalar = double]’,
inlined from ‘Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >::CwiseNullaryOp(const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >&)’ at /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7,
inlined from ‘Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >::CwiseBinaryOp(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >&)’ at /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7,
inlined from ‘Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0>::Product(const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0>&)’ at /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7,
inlined from ‘Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> >::CwiseUnaryOp(const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> >&)’ at /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7,
inlined from ‘Eigen::Transpose<MatrixType>::Transpose(const Eigen::Transpose<MatrixType>&) [with MatrixType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> >]’ at /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:66:5,
inlined from ‘Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::CwiseBinaryOp(const Lhs&, const Rhs&, const BinaryOp&) [with BinaryOp = Eigen::internal::scalar_product_op<double, double>; LhsType = const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >; RhsType = const Eigen::Matrix<double, -1, 1>]’ at /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:111:9,
inlined from ‘const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>, const Derived, const OtherDerived> Eigen::MatrixBase<Derived>::cwiseProduct(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >]’ at /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/../plugins/MatrixCwiseBinaryOps.h:25:97,
inlined from ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’ at rcpp_compute_grid.cpp:44:103:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/functors/NullaryFunctors.h:19:95: warning: ‘normalize_weights_e’ may be used uninitialized [-Wmaybe-uninitialized]
19 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE scalar_constant_op(const scalar_constant_op& other) : m_other(other.m_other) { }
| ^~~~~~~~~~~~~~~~~~~~~~
rcpp_compute_grid.cpp: In function ‘double computeLambdaMaxRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const std::string&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’:
rcpp_compute_grid.cpp:26:10: note: ‘normalize_weights_e’ was declared here
26 | double normalize_weights_e;
| ^~~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++11 -I"/home/hornik/tmp/R.check/r-devel-gcc/Work/build/include" -DNDEBUG -I'/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/Rcpp/include' -I'/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include' -I'/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppThread/include' -I'/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include' -I'/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/bigmemory/include' -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c rcpp_wrappers_cv.cpp -o rcpp_wrappers_cv.o
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/smart_ptr/shared_ptr.hpp:18,
from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/shared_ptr.hpp:17,
from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/bigmemory/include/bigmemory/BigMatrix.h:10,
from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/bigmemory/include/bigmemory/MatrixAccessor.hpp:4,
from rcpp_wrappers_cv.cpp:1:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/smart_ptr/detail/shared_count.hpp:361:33: warning: ‘template<class> class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
361 | explicit shared_count( std::auto_ptr<Y> & r ): pi_( new sp_counted_impl_p<Y>( r.get() ) )
| ^~~~~~~~
In file included from /usr/include/c++/14/memory:78,
from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/smart_ptr/detail/sp_counted_impl.hpp:35,
from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/smart_ptr/detail/shared_count.hpp:27:
/usr/include/c++/14/bits/unique_ptr.h:59:28: note: declared here
59 | template<typename> class auto_ptr;
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/smart_ptr/shared_ptr.hpp:251:65: warning: ‘template<class> class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
251 | template< class T, class R > struct sp_enable_if_auto_ptr< std::auto_ptr< T >, R >
| ^~~~~~~~
/usr/include/c++/14/bits/unique_ptr.h:59:28: note: declared here
59 | template<typename> class auto_ptr;
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/smart_ptr/shared_ptr.hpp:508:31: warning: ‘template<class> class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
508 | explicit shared_ptr( std::auto_ptr<Y> & r ): px(r.get()), pn()
| ^~~~~~~~
/usr/include/c++/14/bits/unique_ptr.h:59:28: note: declared here
59 | template<typename> class auto_ptr;
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/smart_ptr/shared_ptr.hpp:521:22: warning: ‘template<class> class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
521 | shared_ptr( std::auto_ptr<Y> && r ): px(r.get()), pn()
| ^~~~~~~~
/usr/include/c++/14/bits/unique_ptr.h:59:28: note: declared here
59 | template<typename> class auto_ptr;
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/smart_ptr/shared_ptr.hpp:604:34: warning: ‘template<class> class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
604 | shared_ptr & operator=( std::auto_ptr<Y> & r )
| ^~~~~~~~
/usr/include/c++/14/bits/unique_ptr.h:59:28: note: declared here
59 | template<typename> class auto_ptr;
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/smart_ptr/shared_ptr.hpp:613:34: warning: ‘template<class> class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
613 | shared_ptr & operator=( std::auto_ptr<Y> && r )
| ^~~~~~~~
/usr/include/c++/14/bits/unique_ptr.h:59:28: note: declared here
59 | template<typename> class auto_ptr;
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/smart_ptr/shared_ptr.hpp: In member function ‘boost::shared_ptr<T>& boost::shared_ptr<T>::operator=(std::auto_ptr<_Up>&&)’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/smart_ptr/shared_ptr.hpp:615:38: warning: ‘template<class> class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
615 | this_type( static_cast< std::auto_ptr<Y> && >( r ) ).swap( *this );
| ^~~~~~~~
/usr/include/c++/14/bits/unique_ptr.h:59:28: note: declared here
59 | template<typename> class auto_ptr;
| ^~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:205,
from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:28,
from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
from rcpp_wrappers_cv.cpp:3:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h: At global scope:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
49 | template<> struct is_arithmetic<__m128> { enum { value = true }; };
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
222 | template<> struct unpacket_traits<Packet4f> {
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
228 | template<> struct unpacket_traits<Packet2d> {
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
| ^
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:174:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
16 | struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> { \
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
29 | struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> { \
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
16 | struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> { \
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
29 | struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> { \
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:165:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
266 | Alignment = internal::traits<Coefficients>::Alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here
24 | ResAlignment = traits<Quaternion<float> >::Alignment
| ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:271:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<float, 4, 1>’
178 | class Matrix
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType;
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion<float>’
273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here
27 | {
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
266 | Alignment = internal::traits<Coefficients>::Alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here
98 | ResAlignment = traits<Quaternion<double> >::Alignment
| ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, 4, 1>’
178 | class Matrix
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType;
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion<double>’
273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here
102 | {
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/SparseCore:37,
from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Sparse:26,
from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:29:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
36 | class SparseCompressedBase
| ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix<double, 0, int>’
96 | class SparseMatrix
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here
61 | typedef Triplet<double> T;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, 1> >’
22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from ‘struct Eigen::internal::traits<const Eigen::Matrix<double, -1, 1> >’
23 | template<typename T> struct traits<const T> : traits<T> {};
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:18:8: required from ‘struct Eigen::internal::traits<Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
18 | struct traits<Map<PlainObjectType, MapOptions, StrideType> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level<Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
32 | enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, 1> >’
111 | int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Solver.h:71:10: required from here
71 | MapVec E;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, -1, 1>’
178 | class Matrix
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits<Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
24 | ? PlainObjectType::ColsAtCompileTime
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level<Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
32 | enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, 1> >’
111 | int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Solver.h:71:10: required from here
71 | MapVec E;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, 1> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
Solver.h:71:10: required from here
71 | MapVec E;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, -1, -1>’
178 | class Matrix
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >’
24 | ? PlainObjectType::ColsAtCompileTime
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >’
32 | enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1> >’
111 | int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Solver.h:73:10: required from here
73 | MapMat C;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
Solver.h:73:10: required from here
73 | MapMat C;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
Solver.h:125:9: required from here
125 | E(E_.data(), E_.rows()),
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
Solver.h:127:9: required from here
127 | C(C_.data(), C_.rows(), C_.cols()),
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int> > >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int> > >’
36 | class SparseCompressedBase
| ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0>’
50 | class SparseMapBase<Derived,ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 1>’
148 | class SparseMapBase<Derived,WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map<Eigen::SparseMatrix<double, 0, int> >’
222 | class Map<SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Solver.h:163:9: required from here
163 | n(G_.rows()),
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:210:62: required from here
210 | normalize_weights_e = 1.0 / std::sqrt(E.cwiseProduct(E).dot(weights_user) - sqr(E.dot(weights_user)));
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:219:59: required from here
219 | temp_n = normalize_weights_e * temp_n.cwiseProduct(E);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
38 | >::type Scalar;
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:219:59: required from here
219 | temp_n = normalize_weights_e * temp_n.cwiseProduct(E);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:219:59: required from here
219 | temp_n = normalize_weights_e * temp_n.cwiseProduct(E);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Matrix<double, -1, 1> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
Solver.h:223:32: required from here
223 | norm_G = norm2_G.cwiseSqrt();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:258:78: required from here
258 | temp_p = norm2_G.cwiseProduct(norm2_GxE) - G_by_GxE.cwiseProduct(G_by_GxE);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:258:78: required from here
258 | temp_p = norm2_G.cwiseProduct(norm2_GxE) - G_by_GxE.cwiseProduct(G_by_GxE);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:259:56: required from here
259 | case1_A22_div_detA = norm2_GxE.cwiseQuotient(temp_p);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:286:127: required from here
286 | xbeta -= normalize_weights_g[index] * G.col(index).cwiseProduct((b_g[index] + ((normalize_weights_e * b_gxe[index]) * E).array()).matrix());
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
Solver.h:286:134: required from here
286 | xbeta -= normalize_weights_g[index] * G.col(index).cwiseProduct((b_g[index] + ((normalize_weights_e * b_gxe[index]) * E).array()).matrix());
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > >’
38 | >::type Scalar;
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:286:136: required from here
286 | xbeta -= normalize_weights_g[index] * G.col(index).cwiseProduct((b_g[index] + ((normalize_weights_e * b_gxe[index]) * E).array()).matrix());
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:286:136: required from here
286 | xbeta -= normalize_weights_g[index] * G.col(index).cwiseProduct((b_g[index] + ((normalize_weights_e * b_gxe[index]) * E).array()).matrix());
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:288:80: required from here
288 | temp_n = normalize_weights_g[index] * (Z_w - xbeta.cwiseProduct(weights)).cwiseProduct(G.col(index));
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:485:54: required from here
485 | return b_gxe.cwiseProduct(normalize_weights_g) * normalize_weights_e;
| ^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, 1, -1>’
178 | class Matrix
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:418:19: required from ‘class Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >’
418 | RowVectorType m_temp;
| ^~~~~~
GaussianSolver.h:76:38: required from here
76 | Eigen::FullPivHouseholderQR<MatXd> intercept_system_A_qr;
| ^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, 1> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, 1> >, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase<Eigen::Ref<Eigen::Matrix<double, -1, 1> > >’
59 | template<typename Derived> class RefBase
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from ‘class Eigen::Ref<Eigen::Matrix<double, -1, 1> >’
281 | template<typename PlainObjectType, int Options, typename StrideType> class Ref
| ^~~
GaussianSolver.h:202:39: required from here
202 | for (int i = 0; i < abs_res_by_G.size(); ++i) {
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GaussianSolver.h:274:77: required from here
274 | ArrayXd d_j = (lambda_1 - lambda_2 - (std::fabs(x_opt) * abs_res_by_G).array() - (lambda_2 - r * norm_GxE.array()).max((std::fabs(x_opt) * abs_res_by_GxE).array())) / (norm_GxE + norm_G).array();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
GaussianSolver.h:274:84: required from here
274 | ArrayXd d_j = (lambda_1 - lambda_2 - (std::fabs(x_opt) * abs_res_by_G).array() - (lambda_2 - r * norm_GxE.array()).max((std::fabs(x_opt) * abs_res_by_GxE).array())) / (norm_GxE + norm_G).array();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
GaussianSolver.h:278:55: required from here
278 | safe_set_zero = (upperbound_nu_by_GxE.array() - lambda_2).max(0) < (lambda_1 - upperbound_nu_by_G.array());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GaussianSolver.h:278:64: required from here
278 | safe_set_zero = (upperbound_nu_by_GxE.array() - lambda_2).max(0) < (lambda_1 - upperbound_nu_by_G.array());
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
38 | >::type Scalar;
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GaussianSolver.h:278:112: required from here
278 | safe_set_zero = (upperbound_nu_by_GxE.array() - lambda_2).max(0) < (lambda_1 - upperbound_nu_by_G.array());
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GaussianSolver.h:278:112: required from here
278 | safe_set_zero = (upperbound_nu_by_GxE.array() - lambda_2).max(0) < (lambda_1 - upperbound_nu_by_G.array());
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GaussianSolver.h:278:112: required from here
278 | safe_set_zero = (upperbound_nu_by_GxE.array() - lambda_2).max(0) < (lambda_1 - upperbound_nu_by_G.array());
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array<double, -1, 1>’
45 | class Array
| ^~~~~
GaussianSolver.h:278:112: required from here
278 | safe_set_zero = (upperbound_nu_by_GxE.array() - lambda_2).max(0) < (lambda_1 - upperbound_nu_by_G.array());
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<std::reference_wrapper<double(double)>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<std::reference_wrapper<double(double)>, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<std::reference_wrapper<double(double)>, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<std::reference_wrapper<double(double)>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<std::reference_wrapper<double(double)>, const Eigen::Matrix<double, -1, 1> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
BinomialSolver.h:37:23: required from here
37 | return z.unaryExpr(std::ref(sigmoid_scalar));
| ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
BinomialSolver.h:171:21: required from here
171 | X_1_E_C.col(0).setOnes();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, -1> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
BinomialSolver.h:179:41: required from here
179 | X_1_E_C_w_t = X_1_E_C_w.transpose();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
BinomialSolver.h:356:36: required from here
356 | minus_grad = X_1_E_C_w_t * nu;
| ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
BinomialSolver.h:357:34: required from here
357 | if (minus_grad.cwiseAbs().maxCoeff() < 1e-10) {
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
86 | class SolveImpl<Decomposition,RhsType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >’
62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
| ^~~~~
BinomialSolver.h:362:59: required from here
362 | b_diff = H.fullPivHouseholderQr().solve(minus_grad);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:49:35: required from here
49 | weights = weights / weights.sum();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp: In instantiation of ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’:
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:91:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
91 | for (int i = 0; i < test_idx.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp: In instantiation of ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’:
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:191:34: required from here
191 | return fitModelCVRcpp<MapMat>(Gmap, E, Y, C, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
192 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
193 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:91:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
91 | for (int i = 0; i < test_idx.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GaussianSolver.h:118:27: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
118 | Z_w = Y.cwiseProduct(weights);
| ~~~~~~~~~~~~~~^~~~~~~~~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
GaussianSolver.h:125:45: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
125 | intercept_system_A(0, i + 2) = C.col(i).dot(weights);
| ~~~~~^~~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:173:26: required from ‘void BinomialSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
173 | X_1_E_C.col(1) = E * normalize_weights_e;
| ~~^~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:164:7: required from ‘BinomialSolver<TG>::BinomialSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
164 | init();
| ^~~~
rcpp_wrappers_cv.cpp:59:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
59 | new BinomialSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:174:55: required from ‘void BinomialSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
174 | X_1_E_C_w.col(1) = E.cwiseProduct(weights_user) * normalize_weights_e;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:164:7: required from ‘BinomialSolver<TG>::BinomialSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
164 | init();
| ^~~~
rcpp_wrappers_cv.cpp:59:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
59 | new BinomialSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:177:53: required from ‘void BinomialSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
177 | X_1_E_C_w.col(i + 2) = C.col(i).cwiseProduct(weights_user);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
BinomialSolver.h:164:7: required from ‘BinomialSolver<TG>::BinomialSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
164 | init();
| ^~~~
rcpp_wrappers_cv.cpp:59:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
59 | new BinomialSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7: required from ‘class Eigen::BlockImpl<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true, Eigen::Sparse>’
17 | class BlockImpl<XprType,BlockRows,BlockCols,true,Sparse>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
Solver.h:208:55: required from ‘void Solver<TG>::base_init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
208 | normalize_weights_g[i] = 1.0 / std::sqrt(G.col(i).cwiseProduct(G.col(i)).dot(weights_user) - sqr(G.col(i).dot(weights_user)));
| ~~~~~^~~
Solver.h:195:5: required from ‘Solver<TG>::Solver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
195 | base_init();
| ^~~~~~~~~
GaussianSolver.h:111:37: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
111 | intercept_system_B(2 + C_.cols()) {
| ^
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> > >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, Eigen::Sparse>’
36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:208:71: required from ‘void Solver<TG>::base_init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
208 | normalize_weights_g[i] = 1.0 / std::sqrt(G.col(i).cwiseProduct(G.col(i)).dot(weights_user) - sqr(G.col(i).dot(weights_user)));
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
Solver.h:195:5: required from ‘Solver<TG>::Solver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
195 | base_init();
| ^~~~~~~~~
GaussianSolver.h:111:37: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
111 | intercept_system_B(2 + C_.cols()) {
| ^
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Sparse>’
36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:217:48: required from ‘void Solver<TG>::base_init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
217 | temp_n = G.col(i).cwiseProduct(G.col(i)) * sqr(normalize_weights_g[i]);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Solver.h:195:5: required from ‘Solver<TG>::Solver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
195 | base_init();
| ^~~~~~~~~
GaussianSolver.h:111:37: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
111 | intercept_system_B(2 + C_.cols()) {
| ^
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
In file included from rcpp_wrappers_cv.cpp:13:
Solver.h: In instantiation of ‘void Solver<TG>::update_weighted_variables(bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’:
GaussianSolver.h:117:32: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
117 | update_weighted_variables(false);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
Solver.h:237:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
237 | for (int j = 0; j < working_set.size(); ++j) {
| ~~^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:208:71: required from ‘void Solver<TG>::base_init() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
208 | normalize_weights_g[i] = 1.0 / std::sqrt(G.col(i).cwiseProduct(G.col(i)).dot(weights_user) - sqr(G.col(i).dot(weights_user)));
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
Solver.h:154:5: required from ‘Solver<TG>::Solver(const MapMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; MapMat = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
154 | base_init();
| ^~~~~~~~~
GaussianSolver.h:93:39: required from ‘GaussianSolver<TG>::GaussianSolver(const MapMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; MapMat = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
93 | intercept_system_B(2 + C_.cols()) {
| ^
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:191:34: required from here
191 | return fitModelCVRcpp<MapMat>(Gmap, E, Y, C, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
192 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
193 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:217:48: required from ‘void Solver<TG>::base_init() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
217 | temp_n = G.col(i).cwiseProduct(G.col(i)) * sqr(normalize_weights_g[i]);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Solver.h:154:5: required from ‘Solver<TG>::Solver(const MapMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; MapMat = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
154 | base_init();
| ^~~~~~~~~
GaussianSolver.h:93:39: required from ‘GaussianSolver<TG>::GaussianSolver(const MapMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; MapMat = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
93 | intercept_system_B(2 + C_.cols()) {
| ^
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:191:34: required from here
191 | return fitModelCVRcpp<MapMat>(Gmap, E, Y, C, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
192 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
193 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
Solver.h: In instantiation of ‘void Solver<TG>::update_weighted_variables(bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’:
GaussianSolver.h:117:32: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
117 | update_weighted_variables(false);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
GaussianSolver.h:94:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; MapMat = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
94 | init();
| ^~~~
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:191:34: required from here
191 | return fitModelCVRcpp<MapMat>(Gmap, E, Y, C, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
192 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
193 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
Solver.h:237:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
237 | for (int j = 0; j < working_set.size(); ++j) {
| ~~^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix<double, -1, 1>; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Matrix<double, -1, 1> >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
448 | return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
466 | return maxCoeff<PropagateFast>();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_wrappers_cv.cpp:133:39: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
133 | const int nfolds = fold_ids.maxCoeff() + 1;
| ~~~~~~~~~~~~~~~~~^~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int> > > >’
336 | typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:282:8: required from ‘struct Eigen::internal::evaluator<Eigen::Map<Eigen::SparseMatrix<double, 0, int> > >’
282 | struct evaluator<Map<SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:438:43: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, Eigen::internal::IteratorBased, double>’
438 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8: required from ‘struct Eigen::internal::block_evaluator<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true, false>’
1087 | struct block_evaluator<ArgType, BlockRows, BlockCols, InnerPanel, /*HasDirectAccess*/ false>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8: required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> >’
1034 | struct evaluator<Block<ArgType, BlockRows, BlockCols, InnerPanel> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:407:54: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Solver.h:208:85: required from ‘void Solver<TG>::base_init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
208 | normalize_weights_g[i] = 1.0 / std::sqrt(G.col(i).cwiseProduct(G.col(i)).dot(weights_user) - sqr(G.col(i).dot(weights_user)));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
Solver.h:195:5: required from ‘Solver<TG>::Solver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
195 | base_init();
| ^~~~~~~~~
GaussianSolver.h:111:37: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
111 | intercept_system_B(2 + C_.cols()) {
| ^
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:277:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:407:54: required from ‘struct Eigen::internal::sparse_conjunction_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>’
407 | typedef typename evaluator<LhsArg>::InnerIterator LhsIterator;
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:334:8: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>’
334 | struct binary_evaluator<CwiseBinaryOp<scalar_product_op<T1,T2>, Lhs, Rhs>, IteratorBased, IteratorBased>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::SparseMatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
29 | internal::evaluator<Derived> thisEval(derived());
| ^~~~~~~~
Solver.h:208:85: required from ‘void Solver<TG>::base_init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
208 | normalize_weights_g[i] = 1.0 / std::sqrt(G.col(i).cwiseProduct(G.col(i)).dot(weights_user) - sqr(G.col(i).dot(weights_user)));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
Solver.h:195:5: required from ‘Solver<TG>::Solver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
195 | base_init();
| ^~~~~~~~~
GaussianSolver.h:111:37: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
111 | intercept_system_B(2 + C_.cols()) {
| ^
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
GaussianSolver.h:121:61: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
121 | intercept_system_A(0, 1) = normalize_weights_e * E.dot(weights);
| ~~~~~^~~~~~~~~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
GaussianSolver.h:123:82: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
123 | intercept_system_A(1, 1) = sqr(normalize_weights_e) * E.cwiseProduct(E).dot(weights);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
GaussianSolver.h:125:52: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
125 | intercept_system_A(0, i + 2) = C.col(i).dot(weights);
| ~~~~~~~~~~~~^~~~~~~~~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Scalar = double]’
347 | return derived() = Constant(rows(), cols(), val);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:700:10: required from ‘Derived& Eigen::DenseBase<Derived>::setOnes() [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>]’
700 | return setConstant(Scalar(1));
| ^~~~~~~~~~~
BinomialSolver.h:171:29: required from ‘void BinomialSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
171 | X_1_E_C.col(0).setOnes();
| ~~~~~~~~~~~~~~~~~~~~~~^~
BinomialSolver.h:164:7: required from ‘BinomialSolver<TG>::BinomialSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
164 | init();
| ^~~~
rcpp_wrappers_cv.cpp:59:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
59 | new BinomialSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Solver.h:210:66: required from ‘void Solver<TG>::base_init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
210 | normalize_weights_e = 1.0 / std::sqrt(E.cwiseProduct(E).dot(weights_user) - sqr(E.dot(weights_user)));
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
Solver.h:195:5: required from ‘Solver<TG>::Solver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
195 | base_init();
| ^~~~~~~~~
GaussianSolver.h:111:37: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
111 | intercept_system_B(2 + C_.cols()) {
| ^
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Solver.h:210:92: required from ‘void Solver<TG>::base_init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
210 | normalize_weights_e = 1.0 / std::sqrt(E.cwiseProduct(E).dot(weights_user) - sqr(E.dot(weights_user)));
| ~~~~~^~~~~~~~~~~~~~
Solver.h:195:5: required from ‘Solver<TG>::Solver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
195 | base_init();
| ^~~~~~~~~
GaussianSolver.h:111:37: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
111 | intercept_system_B(2 + C_.cols()) {
| ^
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Solver.h:218:30: required from ‘void Solver<TG>::base_init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
218 | norm2_G[i] = temp_n.dot(weights_user);
| ~~~~~~~~~~^~~~~~~~~~~~~~
Solver.h:195:5: required from ‘Solver<TG>::Solver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
195 | base_init();
| ^~~~~~~~~
GaussianSolver.h:111:37: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
111 | intercept_system_B(2 + C_.cols()) {
| ^
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Solver.h:240:32: required from ‘void Solver<TG>::update_weighted_variables(bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
240 | norm2_G[i] = temp_n.dot(weights);
| ~~~~~~~~~~^~~~~~~~~
GaussianSolver.h:117:32: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
117 | update_weighted_variables(false);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; CoeffReturnType = double; Eigen::Index = long int]’
142 | EIGEN_STATIC_ASSERT(internal::evaluator<Derived>::Flags & LinearAccessBit,
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:164:19: required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator[](Eigen::Index) const [with Derived = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; CoeffReturnType = double; Eigen::Index = long int]’
164 | return coeff(index);
| ~~~~~^~~~~~~
Solver.h:37:23: required from ‘double triple_dot_product(const A&, const B&, const C&) [with A = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; B = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; C = Eigen::Matrix<double, -1, 1>]’
37 | result += a[i] * b[i] * c[i];
| ~^
GaussianSolver.h:127:80: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
127 | intercept_system_A(1, i + 2) = normalize_weights_e * triple_dot_product(E, C.col(i), weights);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Solver.h:208:85: required from ‘void Solver<TG>::base_init() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
208 | normalize_weights_g[i] = 1.0 / std::sqrt(G.col(i).cwiseProduct(G.col(i)).dot(weights_user) - sqr(G.col(i).dot(weights_user)));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
Solver.h:154:5: required from ‘Solver<TG>::Solver(const MapMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; MapMat = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
154 | base_init();
| ^~~~~~~~~
GaussianSolver.h:93:39: required from ‘GaussianSolver<TG>::GaussianSolver(const MapMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; MapMat = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
93 | intercept_system_B(2 + C_.cols()) {
| ^
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:191:34: required from here
191 | return fitModelCVRcpp<MapMat>(Gmap, E, Y, C, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
192 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
193 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Solver.h:208:118: required from ‘void Solver<TG>::base_init() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
208 | normalize_weights_g[i] = 1.0 / std::sqrt(G.col(i).cwiseProduct(G.col(i)).dot(weights_user) - sqr(G.col(i).dot(weights_user)));
| ~~~~~~~~~~~~^~~~~~~~~~~~~~
Solver.h:154:5: required from ‘Solver<TG>::Solver(const MapMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; MapMat = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
154 | base_init();
| ^~~~~~~~~
GaussianSolver.h:93:39: required from ‘GaussianSolver<TG>::GaussianSolver(const MapMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; MapMat = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
93 | intercept_system_B(2 + C_.cols()) {
| ^
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:191:34: required from here
191 | return fitModelCVRcpp<MapMat>(Gmap, E, Y, C, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
192 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
193 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:491:33: required from ‘void Eigen::FullPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
490 | Score score = m_qr.bottomRightCorner(rows-k, cols-k)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
491 | .unaryExpr(Scoring())
| ~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:454:3: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
38 | >::type Scalar;
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
131 | this->row(0) -= tau * tmp;
| ~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:530:35: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
132 | bottom.noalias() -= tau * essential * tmp;
| ~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:530:35: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
GaussianSolver.h:121:61: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
121 | intercept_system_A(0, 1) = normalize_weights_e * E.dot(weights);
| ~~~~~^~~~~~~~~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
GaussianSolver.h:123:82: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
123 | intercept_system_A(1, 1) = sqr(normalize_weights_e) * E.cwiseProduct(E).dot(weights);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
GaussianSolver.h:125:52: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
125 | intercept_system_A(0, i + 2) = C.col(i).dot(weights);
| ~~~~~~~~~~~~^~~~~~~~~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
93 | essential = tail / (c0 - beta);
| ~~~~~^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from ‘Derived& Eigen::DenseBase<Derived>::operator*=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
20 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:123:11: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
123 | *this *= Scalar(1)-tau;
| ~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:530:35: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Functor = assign_op<double, double>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Map<const Eigen::Matrix<double, -1, 1> >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:172:24: required from ‘void BinomialSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
172 | X_1_E_C_w.col(0) = weights_user;
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
BinomialSolver.h:164:7: required from ‘BinomialSolver<TG>::BinomialSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
164 | init();
| ^~~~
rcpp_wrappers_cv.cpp:59:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
59 | new BinomialSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; U = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
Solver.h:210:66: required from ‘void Solver<TG>::base_init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
210 | normalize_weights_e = 1.0 / std::sqrt(E.cwiseProduct(E).dot(weights_user) - sqr(E.dot(weights_user)));
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
Solver.h:195:5: required from ‘Solver<TG>::Solver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
195 | base_init();
| ^~~~~~~~~
GaussianSolver.h:111:37: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
111 | intercept_system_B(2 + C_.cols()) {
| ^
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; U = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
Solver.h:210:92: required from ‘void Solver<TG>::base_init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
210 | normalize_weights_e = 1.0 / std::sqrt(E.cwiseProduct(E).dot(weights_user) - sqr(E.dot(weights_user)));
| ~~~~~^~~~~~~~~~~~~~
Solver.h:195:5: required from ‘Solver<TG>::Solver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
195 | base_init();
| ^~~~~~~~~
GaussianSolver.h:111:37: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
111 | intercept_system_B(2 + C_.cols()) {
| ^
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
Solver.h:218:30: required from ‘void Solver<TG>::base_init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
218 | norm2_G[i] = temp_n.dot(weights_user);
| ~~~~~~~~~~^~~~~~~~~~~~~~
Solver.h:195:5: required from ‘Solver<TG>::Solver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
195 | base_init();
| ^~~~~~~~~
GaussianSolver.h:111:37: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
111 | intercept_system_B(2 + C_.cols()) {
| ^
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
Solver.h:240:32: required from ‘void Solver<TG>::update_weighted_variables(bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
240 | norm2_G[i] = temp_n.dot(weights);
| ~~~~~~~~~~^~~~~~~~~
GaussianSolver.h:117:32: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
117 | update_weighted_variables(false);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::internal::IndexBased, double>’
564 | CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
79 | CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >]’
123 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Visitor.h:348:14: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
98 | return numext::real((*this).cwiseAbs2().sum());
| ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]’
142 | EIGEN_STATIC_ASSERT(internal::evaluator<Derived>::Flags & LinearAccessBit,
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:79:20: required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
79 | Scalar c0 = coeff(0);
| ~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
46 | makeHouseholder(essentialPart, tau, beta);
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:523:52: required from ‘void Eigen::FullPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
523 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:454:3: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; U = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
Solver.h:208:85: required from ‘void Solver<TG>::base_init() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
208 | normalize_weights_g[i] = 1.0 / std::sqrt(G.col(i).cwiseProduct(G.col(i)).dot(weights_user) - sqr(G.col(i).dot(weights_user)));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
Solver.h:154:5: required from ‘Solver<TG>::Solver(const MapMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; MapMat = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
154 | base_init();
| ^~~~~~~~~
GaussianSolver.h:93:39: required from ‘GaussianSolver<TG>::GaussianSolver(const MapMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; MapMat = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
93 | intercept_system_B(2 + C_.cols()) {
| ^
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:191:34: required from here
191 | return fitModelCVRcpp<MapMat>(Gmap, E, Y, C, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
192 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
193 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; U = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
Solver.h:208:118: required from ‘void Solver<TG>::base_init() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
208 | normalize_weights_g[i] = 1.0 / std::sqrt(G.col(i).cwiseProduct(G.col(i)).dot(weights_user) - sqr(G.col(i).dot(weights_user)));
| ~~~~~~~~~~~~^~~~~~~~~~~~~~
Solver.h:154:5: required from ‘Solver<TG>::Solver(const MapMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; MapMat = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
154 | base_init();
| ^~~~~~~~~
GaussianSolver.h:93:39: required from ‘GaussianSolver<TG>::GaussianSolver(const MapMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; MapMat = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
93 | intercept_system_B(2 + C_.cols()) {
| ^
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:191:34: required from here
191 | return fitModelCVRcpp<MapMat>(Gmap, E, Y, C, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
192 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
193 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
370 | typedef typename nested_eval<Rhs,1>::type RhsNested;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
1043 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; Functor = swap_assign_op<double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; Func = swap_assign_op<double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; Functor = swap_assign_op<double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; Func = swap_assign_op<double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>]’
424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:514:36: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
564 | CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Func = generic_product_impl<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’
280 | func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
98 | return numext::real((*this).cwiseAbs2().sum());
| ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
78 | RealScalar tailSqNorm = size()==1 ? RealScalar(0) : tail.squaredNorm();
| ~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double]’
347 | return derived() = Constant(rows(), cols(), val);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >]’
548 | return setConstant(Scalar(0));
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = assign_op<double, double>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:333:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:306:38: required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’
306 | typedef typename Traits::LhsPacket LhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Dest = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >; typename Dest::Scalar = double]’
346 | general_matrix_vector_product
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
347 | <Index,LhsScalar,LhsMapper,RowMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
348 | actualLhs.rows(), actualLhs.cols(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | LhsMapper(actualLhs.data(), actualLhs.outerStride()),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | RhsMapper(actualRhsPtr, 1),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
351 | dest.data(), dest.col(0).innerStride(), //NOTE if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | actualAlpha);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Dest = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’
206 | gemv_dense_selector<OnTheRight,OtherStorageOrder,BlasCompatible>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Scalar = double]’
385 | internal::gemv_dense_selector<Side,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
386 | (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
387 | bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
388 | >::run(actual_lhs, actual_rhs, dst, alpha);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
52 | unpacket_traits<_RhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
59 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
60 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
61 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 1>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:310:42: required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’
310 | typedef typename HalfTraits::LhsPacket LhsPacketHalf;
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Dest = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >; typename Dest::Scalar = double]’
346 | general_matrix_vector_product
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
347 | <Index,LhsScalar,LhsMapper,RowMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
348 | actualLhs.rows(), actualLhs.cols(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | LhsMapper(actualLhs.data(), actualLhs.outerStride()),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | RhsMapper(actualRhsPtr, 1),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
351 | dest.data(), dest.col(0).innerStride(), //NOTE if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | actualAlpha);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Dest = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’
206 | gemv_dense_selector<OnTheRight,OtherStorageOrder,BlasCompatible>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Scalar = double]’
385 | internal::gemv_dense_selector<Side,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
386 | (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
387 | bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
388 | >::run(actual_lhs, actual_rhs, dst, alpha);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
52 | unpacket_traits<_RhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
59 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
60 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
61 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 2>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:314:45: required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’
314 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Dest = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >; typename Dest::Scalar = double]’
346 | general_matrix_vector_product
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
347 | <Index,LhsScalar,LhsMapper,RowMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
348 | actualLhs.rows(), actualLhs.cols(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | LhsMapper(actualLhs.data(), actualLhs.outerStride()),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | RhsMapper(actualRhsPtr, 1),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
351 | dest.data(), dest.col(0).innerStride(), //NOTE if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | actualAlpha);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Dest = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’
206 | gemv_dense_selector<OnTheRight,OtherStorageOrder,BlasCompatible>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Scalar = double]’
385 | internal::gemv_dense_selector<Side,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
386 | (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
387 | bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
388 | >::run(actual_lhs, actual_rhs, dst, alpha);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
52 | unpacket_traits<_RhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
59 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
60 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
61 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op<double, double>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>]’
164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_cv.cpp:55:7: required from ‘void fitModelCVRcppSingleFold(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const VecXd&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, int, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXi&, Eigen::MatrixXi&, Eigen::MatrixXi&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VecXd = Eigen::Matrix<double, -1, 1>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXi = Eigen::Matrix<int, -1, -1>]’
55 | new GaussianSolver<TG>(G, E, Y, C, weights_map, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:143:35: required from ‘Rcpp::List fitModelCVRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int, const Eigen::VectorXd&, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
143 | fitModelCVRcppSingleFold<TG>(G, E, Y, C, fold_ids, normalize, grid, alpha, family,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
144 | tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
145 | test_fold_id, xbeta, test_loss, beta_g_nonzero, beta_gxe_nonzero, has_converged);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_cv.cpp:183:40: required from here
183 | return fitModelCVRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
184 | normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~
185 | family, tolerance, max_iterations, min_working_set_size,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
186 | fold_ids, seed, ncores);
| ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
In file included from rcpp_wrappers_cv.cpp:15:
BinomialSolver.h: In instantiation of ‘double BinomialSolver<TG>::get_test_loss(const std::vector<int>&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’:
BinomialSolver.h:420:20: required from here
420 | virtual double get_test_loss(const std::vector<int>& test_idx) {
| ^~~~~~~~~~~~~
BinomialSolver.h:423:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
423 | for (int i = 0; i < test_idx.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
In file included from rcpp_wrappers_cv.cpp:14:
GaussianSolver.h: In instantiation of ‘double GaussianSolver<TG>::get_test_loss(const std::vector<int>&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’:
GaussianSolver.h:346:20: required from here
346 | virtual double get_test_loss(const std::vector<int>& test_idx) {
| ^~~~~~~~~~~~~
GaussianSolver.h:349:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
349 | for (int i = 0; i < test_idx.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
BinomialSolver.h: In instantiation of ‘double BinomialSolver<TG>::get_test_loss(const std::vector<int>&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’:
BinomialSolver.h:420:20: required from here
420 | virtual double get_test_loss(const std::vector<int>& test_idx) {
| ^~~~~~~~~~~~~
BinomialSolver.h:423:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
423 | for (int i = 0; i < test_idx.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
GaussianSolver.h: In instantiation of ‘double GaussianSolver<TG>::get_test_loss(const std::vector<int>&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’:
GaussianSolver.h:346:20: required from here
346 | virtual double get_test_loss(const std::vector<int>& test_idx) {
| ^~~~~~~~~~~~~
GaussianSolver.h:349:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
349 | for (int i = 0; i < test_idx.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:355:16: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
355 | nu = Y - mu;
| ~~^~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:360:29: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
360 | temp_n = mu.array() * (1 - mu.array());
| ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
BinomialSolver.h:361:25: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
BinomialSolver.h:361:47: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, 1>, -1, 1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>’
56 | template<typename VectorType, int Size> class VectorBlock
| ^~~~~~~~~~~
BinomialSolver.h:367:29: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
367 | b_c += b_diff.tail(C.cols());
| ~~~~~~~~~~~^~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
BinomialSolver.h:341:27: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
341 | primal_objective = (-Y.cwiseProduct(xbeta) + log_one_plus_exp(xbeta)).dot(weights_user) + lambda_1 * (b_g.cwiseAbs().cwiseMax(b_gxe.cwiseAbs())).sum() + lambda_2 * b_gxe.cwiseAbs().sum();
| ^~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:341:50: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
341 | primal_objective = (-Y.cwiseProduct(xbeta) + log_one_plus_exp(xbeta)).dot(weights_user) + lambda_1 * (b_g.cwiseAbs().cwiseMax(b_gxe.cwiseAbs())).sum() + lambda_2 * b_gxe.cwiseAbs().sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:341:132: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
341 | primal_objective = (-Y.cwiseProduct(xbeta) + log_one_plus_exp(xbeta)).dot(weights_user) + lambda_1 * (b_g.cwiseAbs().cwiseMax(b_gxe.cwiseAbs())).sum() + lambda_2 * b_gxe.cwiseAbs().sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:378:82: required from ‘void BinomialSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
378 | ArrayXd d_j = (lambda_1 - lambda_2 - (abs_nu_by_G).array() - (lambda_2 - r * norm_GxE.array()).max((abs_nu_by_GxE).array())) / (norm_GxE + norm_G).array();
| ~~^~~~~~~~~~~~~~~~~~
BinomialSolver.h:207:9: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
207 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:378:78: required from ‘void BinomialSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
378 | ArrayXd d_j = (lambda_1 - lambda_2 - (abs_nu_by_G).array() - (lambda_2 - r * norm_GxE.array()).max((abs_nu_by_GxE).array())) / (norm_GxE + norm_G).array();
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:207:9: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
207 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:378:105: required from ‘void BinomialSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
378 | ArrayXd d_j = (lambda_1 - lambda_2 - (abs_nu_by_G).array() - (lambda_2 - r * norm_GxE.array()).max((abs_nu_by_GxE).array())) / (norm_GxE + norm_G).array();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:207:9: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
207 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:378:66: required from ‘void BinomialSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
378 | ArrayXd d_j = (lambda_1 - lambda_2 - (abs_nu_by_G).array() - (lambda_2 - r * norm_GxE.array()).max((abs_nu_by_GxE).array())) / (norm_GxE + norm_G).array();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:207:9: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
207 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:378:144: required from ‘void BinomialSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
378 | ArrayXd d_j = (lambda_1 - lambda_2 - (abs_nu_by_G).array() - (lambda_2 - r * norm_GxE.array()).max((abs_nu_by_GxE).array())) / (norm_GxE + norm_G).array();
| ~~~~~~~~~~^~~~~~~~~
BinomialSolver.h:207:9: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
207 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
BinomialSolver.h:378:159: required from ‘void BinomialSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
378 | ArrayXd d_j = (lambda_1 - lambda_2 - (abs_nu_by_G).array() - (lambda_2 - r * norm_GxE.array()).max((abs_nu_by_GxE).array())) / (norm_GxE + norm_G).array();
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~
BinomialSolver.h:207:9: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
207 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:378:132: required from ‘void BinomialSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
378 | ArrayXd d_j = (lambda_1 - lambda_2 - (abs_nu_by_G).array() - (lambda_2 - r * norm_GxE.array()).max((abs_nu_by_GxE).array())) / (norm_GxE + norm_G).array();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:207:9: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
207 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:380:40: required from ‘void BinomialSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
380 | upperbound_nu_by_G = abs_nu_by_G + r * norm_G;
| ~~~~~~~~~~~~^~~~~~~~~~~~
BinomialSolver.h:207:9: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
207 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:390:65: required from ‘void BinomialSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
390 | xbeta -= normalize_weights_e * normalize_weights_g[i] * G.col(i).cwiseProduct(E) * b_gxe[i];
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:207:9: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
207 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:390:92: required from ‘void BinomialSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
390 | xbeta -= normalize_weights_e * normalize_weights_g[i] * G.col(i).cwiseProduct(E) * b_gxe[i];
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
BinomialSolver.h:207:9: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
207 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:395:43: required from ‘void BinomialSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
395 | xbeta -= normalize_weights_g[i] * G.col(i) * b_g[i];
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
BinomialSolver.h:207:9: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
207 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:395:54: required from ‘void BinomialSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
395 | xbeta -= normalize_weights_g[i] * G.col(i) * b_g[i];
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
BinomialSolver.h:207:9: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
207 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
BinomialSolver.h: In instantiation of ‘void BinomialSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’:
BinomialSolver.h:207:9: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
207 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
BinomialSolver.h:410:93: warning: comparison of integer expressions of different signedness: ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
410 | if (b_g[index] == 0 && b_gxe[index] == 0 && safe_set_g[index] && working_set.size() < working_set_size) {
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
BinomialSolver.h:251:83: required from ‘void BinomialSolver<TG>::update_quadratic_approximation() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
251 | weights.array() = temp_n.array() * (1 - temp_n.array()) * weights_user.array();
| ~~~~~~~~~~~~~~~~~~^~
BinomialSolver.h:224:13: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
224 | update_quadratic_approximation();
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:251:63: required from ‘void BinomialSolver<TG>::update_quadratic_approximation() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
251 | weights.array() = temp_n.array() * (1 - temp_n.array()) * weights_user.array();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:224:13: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
224 | update_quadratic_approximation();
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:257:68: required from ‘void BinomialSolver<TG>::update_quadratic_approximation() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
257 | Z_w = xbeta.cwiseProduct(weights) + (Y - temp_n).cwiseProduct(weights_user);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
BinomialSolver.h:224:13: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
224 | update_quadratic_approximation();
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:257:41: required from ‘void BinomialSolver<TG>::update_quadratic_approximation() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
257 | Z_w = xbeta.cwiseProduct(weights) + (Y - temp_n).cwiseProduct(weights_user);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:224:13: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
224 | update_quadratic_approximation();
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
Solver.h: In instantiation of ‘double Solver<TG>::update_b_for_working_set(double, double, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’:
BinomialSolver.h:232:48: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
232 | max_diff = update_b_for_working_set(lambda_1, lambda_2, false);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
Solver.h:278:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
278 | for (int k = 0; k < working_set.size(); ++k) {
| ~~^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > >’
140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
| ^~~~~~~~~~~~~
Solver.h:286:143: required from ‘double Solver<TG>::update_b_for_working_set(double, double, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
286 | xbeta -= normalize_weights_g[index] * G.col(index).cwiseProduct((b_g[index] + ((normalize_weights_e * b_gxe[index]) * E).array()).matrix());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
BinomialSolver.h:232:48: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
232 | max_diff = update_b_for_working_set(lambda_1, lambda_2, false);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:286:70: required from ‘double Solver<TG>::update_b_for_working_set(double, double, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
286 | xbeta -= normalize_weights_g[index] * G.col(index).cwiseProduct((b_g[index] + ((normalize_weights_e * b_gxe[index]) * E).array()).matrix());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:232:48: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
232 | max_diff = update_b_for_working_set(lambda_1, lambda_2, false);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:286:43: required from ‘double Solver<TG>::update_b_for_working_set(double, double, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
286 | xbeta -= normalize_weights_g[index] * G.col(index).cwiseProduct((b_g[index] + ((normalize_weights_e * b_gxe[index]) * E).array()).matrix());
BinomialSolver.h:232:48: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
232 | max_diff = update_b_for_working_set(lambda_1, lambda_2, false);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:288:93: required from ‘double Solver<TG>::update_b_for_working_set(double, double, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
288 | temp_n = normalize_weights_g[index] * (Z_w - xbeta.cwiseProduct(weights)).cwiseProduct(G.col(index));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
BinomialSolver.h:232:48: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
232 | max_diff = update_b_for_working_set(lambda_1, lambda_2, false);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:288:43: required from ‘double Solver<TG>::update_b_for_working_set(double, double, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
288 | temp_n = normalize_weights_g[index] * (Z_w - xbeta.cwiseProduct(weights)).cwiseProduct(G.col(index));
BinomialSolver.h:232:48: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
232 | max_diff = update_b_for_working_set(lambda_1, lambda_2, false);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:351:78: required from ‘double Solver<TG>::update_b_for_working_set(double, double, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
351 | xbeta += normalize_weights_g[index] * (b_g[index] * G.col(index) + normalize_weights_e * G.col(index).cwiseProduct(E) * b_gxe[index]);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:232:48: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
232 | max_diff = update_b_for_working_set(lambda_1, lambda_2, false);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:351:49: required from ‘double Solver<TG>::update_b_for_working_set(double, double, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
351 | xbeta += normalize_weights_g[index] * (b_g[index] * G.col(index) + normalize_weights_e * G.col(index).cwiseProduct(E) * b_gxe[index]);
BinomialSolver.h:232:48: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
232 | max_diff = update_b_for_working_set(lambda_1, lambda_2, false);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
Solver.h: In instantiation of ‘double Solver<TG>::update_b_for_working_set(double, double, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’:
BinomialSolver.h:232:48: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
232 | max_diff = update_b_for_working_set(lambda_1, lambda_2, false);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
Solver.h:271:12: warning: unused variable ‘b_0_old’ [-Wunused-variable]
271 | double b_0_old, b_e_old, b_g_old, b_gxe_old, b_g_new;
| ^~~~~~~
Solver.h:271:21: warning: unused variable ‘b_e_old’ [-Wunused-variable]
271 | double b_0_old, b_e_old, b_g_old, b_gxe_old, b_g_new;
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GaussianSolver.h:274:42: required from ‘void GaussianSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
274 | ArrayXd d_j = (lambda_1 - lambda_2 - (std::fabs(x_opt) * abs_res_by_G).array() - (lambda_2 - r * norm_GxE.array()).max((std::fabs(x_opt) * abs_res_by_GxE).array())) / (norm_GxE + norm_G).array();
| ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:163:9: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
163 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GaussianSolver.h:274:125: required from ‘void GaussianSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
274 | ArrayXd d_j = (lambda_1 - lambda_2 - (std::fabs(x_opt) * abs_res_by_G).array() - (lambda_2 - r * norm_GxE.array()).max((std::fabs(x_opt) * abs_res_by_GxE).array())) / (norm_GxE + norm_G).array();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:163:9: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
163 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GaussianSolver.h:274:86: required from ‘void GaussianSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
274 | ArrayXd d_j = (lambda_1 - lambda_2 - (std::fabs(x_opt) * abs_res_by_G).array() - (lambda_2 - r * norm_GxE.array()).max((std::fabs(x_opt) * abs_res_by_GxE).array())) / (norm_GxE + norm_G).array();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:163:9: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
163 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GaussianSolver.h:274:172: required from ‘void GaussianSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
274 | ArrayXd d_j = (lambda_1 - lambda_2 - (std::fabs(x_opt) * abs_res_by_G).array() - (lambda_2 - r * norm_GxE.array()).max((std::fabs(x_opt) * abs_res_by_GxE).array())) / (norm_GxE + norm_G).array();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:163:9: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
163 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GaussianSolver.h:276:60: required from ‘void GaussianSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
276 | upperbound_nu_by_G = std::fabs(x_opt) * abs_res_by_G + r * norm_G;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
GaussianSolver.h:163:9: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
163 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
GaussianSolver.h: In instantiation of ‘void GaussianSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’:
GaussianSolver.h:163:9: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
163 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
GaussianSolver.h:306:93: warning: comparison of integer expressions of different signedness: ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
306 | if (b_g[index] == 0 && b_gxe[index] == 0 && safe_set_g[index] && working_set.size() < working_set_size) {
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GaussianSolver.h:314:40: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
314 | xbeta -= normalize_weights_e * E * b_e;
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GaussianSolver.h:317:27: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
317 | xbeta -= C.col(i) * b_c[i];
| ~~~~~~~~~^~~~~~
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GaussianSolver.h:328:29: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
328 | xbeta = xbeta.array() + b_0;
| ~~~~~~~~~~~~~~^~~~~
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GaussianSolver.h:329:24: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
329 | xbeta += E * b_e * normalize_weights_e;
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, Eigen::Sparse>’
36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:390:88: required from ‘void BinomialSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
390 | xbeta -= normalize_weights_e * normalize_weights_g[i] * G.col(i).cwiseProduct(E) * b_gxe[i];
| ~~~~~~~~~~~~~~~~~~~~~^~~
BinomialSolver.h:207:9: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
207 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, Eigen::Sparse>’
36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:390:65: required from ‘void BinomialSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
390 | xbeta -= normalize_weights_e * normalize_weights_g[i] * G.col(i).cwiseProduct(E) * b_gxe[i];
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:207:9: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
207 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Sparse>’
36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:390:92: required from ‘void BinomialSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
390 | xbeta -= normalize_weights_e * normalize_weights_g[i] * G.col(i).cwiseProduct(E) * b_gxe[i];
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
BinomialSolver.h:207:9: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
207 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> > >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, Eigen::Sparse>’
36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:395:43: required from ‘void BinomialSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
395 | xbeta -= normalize_weights_g[i] * G.col(i) * b_g[i];
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
BinomialSolver.h:207:9: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
207 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Sparse>’
36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:395:54: required from ‘void BinomialSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
395 | xbeta -= normalize_weights_g[i] * G.col(i) * b_g[i];
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
BinomialSolver.h:207:9: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
207 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
BinomialSolver.h: In instantiation of ‘void BinomialSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’:
BinomialSolver.h:207:9: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
207 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
BinomialSolver.h:410:93: warning: comparison of integer expressions of different signedness: ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
410 | if (b_g[index] == 0 && b_gxe[index] == 0 && safe_set_g[index] && working_set.size() < working_set_size) {
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
Solver.h: In instantiation of ‘double Solver<TG>::update_b_for_working_set(double, double, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’:
BinomialSolver.h:232:48: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
232 | max_diff = update_b_for_working_set(lambda_1, lambda_2, false);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
Solver.h:278:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
278 | for (int k = 0; k < working_set.size(); ++k) {
| ~~^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > > > >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > >, Eigen::Sparse>’
36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:286:70: required from ‘double Solver<TG>::update_b_for_working_set(double, double, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
286 | xbeta -= normalize_weights_g[index] * G.col(index).cwiseProduct((b_g[index] + ((normalize_weights_e * b_gxe[index]) * E).array()).matrix());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:232:48: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
232 | max_diff = update_b_for_working_set(lambda_1, lambda_2, false);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > > > > >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > > >, Eigen::Sparse>’
36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:286:43: required from ‘double Solver<TG>::update_b_for_working_set(double, double, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
286 | xbeta -= normalize_weights_g[index] * G.col(index).cwiseProduct((b_g[index] + ((normalize_weights_e * b_gxe[index]) * E).array()).matrix());
BinomialSolver.h:232:48: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
232 | max_diff = update_b_for_working_set(lambda_1, lambda_2, false);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Sparse>’
36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:288:93: required from ‘double Solver<TG>::update_b_for_working_set(double, double, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
288 | temp_n = normalize_weights_g[index] * (Z_w - xbeta.cwiseProduct(weights)).cwiseProduct(G.col(index));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
BinomialSolver.h:232:48: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
232 | max_diff = update_b_for_working_set(lambda_1, lambda_2, false);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > > >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >, Eigen::Sparse>’
36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:288:43: required from ‘double Solver<TG>::update_b_for_working_set(double, double, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
288 | temp_n = normalize_weights_g[index] * (Z_w - xbeta.cwiseProduct(weights)).cwiseProduct(G.col(index));
BinomialSolver.h:232:48: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
232 | max_diff = update_b_for_working_set(lambda_1, lambda_2, false);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Sparse>’
36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:351:78: required from ‘double Solver<TG>::update_b_for_working_set(double, double, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
351 | xbeta += normalize_weights_g[index] * (b_g[index] * G.col(index) + normalize_weights_e * G.col(index).cwiseProduct(E) * b_gxe[index]);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:232:48: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
232 | max_diff = update_b_for_working_set(lambda_1, lambda_2, false);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > > >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, Eigen::Sparse>’
36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:351:49: required from ‘double Solver<TG>::update_b_for_working_set(double, double, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
351 | xbeta += normalize_weights_g[index] * (b_g[index] * G.col(index) + normalize_weights_e * G.col(index).cwiseProduct(E) * b_gxe[index]);
BinomialSolver.h:232:48: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
232 | max_diff = update_b_for_working_set(lambda_1, lambda_2, false);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
Solver.h: In instantiation of ‘double Solver<TG>::update_b_for_working_set(double, double, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’:
BinomialSolver.h:232:48: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
232 | max_diff = update_b_for_working_set(lambda_1, lambda_2, false);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
Solver.h:271:12: warning: unused variable ‘b_0_old’ [-Wunused-variable]
271 | double b_0_old, b_e_old, b_g_old, b_gxe_old, b_g_new;
| ^~~~~~~
Solver.h:271:21: warning: unused variable ‘b_e_old’ [-Wunused-variable]
271 | double b_0_old, b_e_old, b_g_old, b_gxe_old, b_g_new;
| ^~~~~~~
GaussianSolver.h: In instantiation of ‘void GaussianSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’:
GaussianSolver.h:163:9: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
163 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
GaussianSolver.h:306:93: warning: comparison of integer expressions of different signedness: ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
306 | if (b_g[index] == 0 && b_gxe[index] == 0 && safe_set_g[index] && working_set.size() < working_set_size) {
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
BinomialSolver.h:308:63: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
308 | abs_nu_by_G = (nu.cwiseProduct(weights_user).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
BinomialSolver.h:308:66: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
308 | abs_nu_by_G = (nu.cwiseProduct(weights_user).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
BinomialSolver.h:308:79: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
308 | abs_nu_by_G = (nu.cwiseProduct(weights_user).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
BinomialSolver.h:308:91: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
308 | abs_nu_by_G = (nu.cwiseProduct(weights_user).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:308:106: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
308 | abs_nu_by_G = (nu.cwiseProduct(weights_user).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:309:68: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
309 | abs_nu_by_GxE = (nu.cwiseProduct(weights_user).cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g) * normalize_weights_e;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
BinomialSolver.h:309:81: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
309 | abs_nu_by_GxE = (nu.cwiseProduct(weights_user).cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g) * normalize_weights_e;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
BinomialSolver.h:309:84: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
309 | abs_nu_by_GxE = (nu.cwiseProduct(weights_user).cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g) * normalize_weights_e;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
BinomialSolver.h:309:97: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
309 | abs_nu_by_GxE = (nu.cwiseProduct(weights_user).cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g) * normalize_weights_e;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
BinomialSolver.h:309:109: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
309 | abs_nu_by_GxE = (nu.cwiseProduct(weights_user).cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g) * normalize_weights_e;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:309:124: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
309 | abs_nu_by_GxE = (nu.cwiseProduct(weights_user).cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g) * normalize_weights_e;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:309:146: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
309 | abs_nu_by_GxE = (nu.cwiseProduct(weights_user).cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g) * normalize_weights_e;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
BinomialSolver.h: In instantiation of ‘void BinomialSolver<TG>::update_inner_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’:
BinomialSolver.h:346:7: required from ‘double BinomialSolver<TG>::check_inner_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
346 | update_inner_nu(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~
BinomialSolver.h:216:31: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
216 | inner_duality_gap = check_inner_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
BinomialSolver.h:329:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
329 | for (int i = 0; i < working_set.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:330:48: required from ‘void BinomialSolver<TG>::update_inner_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
330 | temp_n = inner_nu_weighted.cwiseProduct(G.col(working_set[i])) * normalize_weights_g[working_set[i]];
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:346:7: required from ‘double BinomialSolver<TG>::check_inner_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
346 | update_inner_nu(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~
BinomialSolver.h:216:31: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
216 | inner_duality_gap = check_inner_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:330:72: required from ‘void BinomialSolver<TG>::update_inner_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
330 | temp_n = inner_nu_weighted.cwiseProduct(G.col(working_set[i])) * normalize_weights_g[working_set[i]];
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:346:7: required from ‘double BinomialSolver<TG>::check_inner_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
346 | update_inner_nu(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~
BinomialSolver.h:216:31: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
216 | inner_duality_gap = check_inner_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GaussianSolver.h:250:40: required from ‘double GaussianSolver<TG>::update_inner_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
250 | temp_n = (Y - xbeta).cwiseProduct(weights); // weighted residual
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
GaussianSolver.h:263:34: required from ‘double GaussianSolver<TG>::check_duality_gap(double, double, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
263 | current_dual_objective = update_inner_nu(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~
GaussianSolver.h:159:23: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
159 | duality_gap = check_duality_gap(lambda_1, lambda_2, false);
| ^~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
GaussianSolver.h: In instantiation of ‘double GaussianSolver<TG>::update_inner_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’:
GaussianSolver.h:263:34: required from ‘double GaussianSolver<TG>::check_duality_gap(double, double, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
263 | current_dual_objective = update_inner_nu(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~
GaussianSolver.h:159:23: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
159 | duality_gap = check_duality_gap(lambda_1, lambda_2, false);
| ^~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
GaussianSolver.h:251:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
251 | for (int i = 0; i < working_set.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, 1> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
GaussianSolver.h:232:41: required from ‘double GaussianSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
232 | abs_res_by_G = (temp_n.transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~~~~^~
GaussianSolver.h:265:34: required from ‘double GaussianSolver<TG>::check_duality_gap(double, double, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
265 | current_dual_objective = update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
GaussianSolver.h:159:23: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
159 | duality_gap = check_duality_gap(lambda_1, lambda_2, false);
| ^~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
GaussianSolver.h:232:44: required from ‘double GaussianSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
232 | abs_res_by_G = (temp_n.transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~~~~~~~~^~~~
GaussianSolver.h:265:34: required from ‘double GaussianSolver<TG>::check_duality_gap(double, double, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
265 | current_dual_objective = update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
GaussianSolver.h:159:23: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
159 | duality_gap = check_duality_gap(lambda_1, lambda_2, false);
| ^~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
GaussianSolver.h:232:57: required from ‘double GaussianSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
232 | abs_res_by_G = (temp_n.transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:265:34: required from ‘double GaussianSolver<TG>::check_duality_gap(double, double, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
265 | current_dual_objective = update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
GaussianSolver.h:159:23: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
159 | duality_gap = check_duality_gap(lambda_1, lambda_2, false);
| ^~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
GaussianSolver.h:232:69: required from ‘double GaussianSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
232 | abs_res_by_G = (temp_n.transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:265:34: required from ‘double GaussianSolver<TG>::check_duality_gap(double, double, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
265 | current_dual_objective = update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
GaussianSolver.h:159:23: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
159 | duality_gap = check_duality_gap(lambda_1, lambda_2, false);
| ^~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GaussianSolver.h:232:84: required from ‘double GaussianSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
232 | abs_res_by_G = (temp_n.transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:265:34: required from ‘double GaussianSolver<TG>::check_duality_gap(double, double, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
265 | current_dual_objective = update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
GaussianSolver.h:159:23: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
159 | duality_gap = check_duality_gap(lambda_1, lambda_2, false);
| ^~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GaussianSolver.h:233:124: required from ‘double GaussianSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
233 | abs_res_by_GxE = (temp_n.cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g) * normalize_weights_e;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:265:34: required from ‘double GaussianSolver<TG>::check_duality_gap(double, double, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
265 | current_dual_objective = update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
GaussianSolver.h:159:23: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
159 | duality_gap = check_duality_gap(lambda_1, lambda_2, false);
| ^~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
BinomialSolver.h:308:66: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
308 | abs_nu_by_G = (nu.cwiseProduct(weights_user).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
BinomialSolver.h:308:79: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
308 | abs_nu_by_G = (nu.cwiseProduct(weights_user).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
BinomialSolver.h:308:91: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
308 | abs_nu_by_G = (nu.cwiseProduct(weights_user).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:308:106: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
308 | abs_nu_by_G = (nu.cwiseProduct(weights_user).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
BinomialSolver.h:309:84: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
309 | abs_nu_by_GxE = (nu.cwiseProduct(weights_user).cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g) * normalize_weights_e;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
BinomialSolver.h:309:97: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
309 | abs_nu_by_GxE = (nu.cwiseProduct(weights_user).cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g) * normalize_weights_e;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
BinomialSolver.h:309:109: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
309 | abs_nu_by_GxE = (nu.cwiseProduct(weights_user).cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g) * normalize_weights_e;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:309:124: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
309 | abs_nu_by_GxE = (nu.cwiseProduct(weights_user).cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g) * normalize_weights_e;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:309:146: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
309 | abs_nu_by_GxE = (nu.cwiseProduct(weights_user).cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g) * normalize_weights_e;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
BinomialSolver.h: In instantiation of ‘void BinomialSolver<TG>::update_inner_nu(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’:
BinomialSolver.h:346:7: required from ‘double BinomialSolver<TG>::check_inner_duality_gap(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
346 | update_inner_nu(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~
BinomialSolver.h:216:31: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
216 | inner_duality_gap = check_inner_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
BinomialSolver.h:329:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
329 | for (int i = 0; i < working_set.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Sparse>’
36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:330:48: required from ‘void BinomialSolver<TG>::update_inner_nu(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
330 | temp_n = inner_nu_weighted.cwiseProduct(G.col(working_set[i])) * normalize_weights_g[working_set[i]];
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:346:7: required from ‘double BinomialSolver<TG>::check_inner_duality_gap(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
346 | update_inner_nu(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~
BinomialSolver.h:216:31: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
216 | inner_duality_gap = check_inner_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Sparse>’
36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:330:72: required from ‘void BinomialSolver<TG>::update_inner_nu(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
330 | temp_n = inner_nu_weighted.cwiseProduct(G.col(working_set[i])) * normalize_weights_g[working_set[i]];
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:346:7: required from ‘double BinomialSolver<TG>::check_inner_duality_gap(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
346 | update_inner_nu(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~
BinomialSolver.h:216:31: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
216 | inner_duality_gap = check_inner_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
GaussianSolver.h: In instantiation of ‘double GaussianSolver<TG>::update_inner_nu(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’:
GaussianSolver.h:263:34: required from ‘double GaussianSolver<TG>::check_duality_gap(double, double, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
263 | current_dual_objective = update_inner_nu(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~
GaussianSolver.h:159:23: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
159 | duality_gap = check_duality_gap(lambda_1, lambda_2, false);
| ^~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
GaussianSolver.h:251:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
251 | for (int i = 0; i < working_set.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
GaussianSolver.h:232:44: required from ‘double GaussianSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
232 | abs_res_by_G = (temp_n.transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~~~~~~~~^~~~
GaussianSolver.h:265:34: required from ‘double GaussianSolver<TG>::check_duality_gap(double, double, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
265 | current_dual_objective = update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
GaussianSolver.h:159:23: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
159 | duality_gap = check_duality_gap(lambda_1, lambda_2, false);
| ^~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
GaussianSolver.h:232:57: required from ‘double GaussianSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
232 | abs_res_by_G = (temp_n.transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:265:34: required from ‘double GaussianSolver<TG>::check_duality_gap(double, double, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
265 | current_dual_objective = update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
GaussianSolver.h:159:23: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
159 | duality_gap = check_duality_gap(lambda_1, lambda_2, false);
| ^~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
GaussianSolver.h:232:69: required from ‘double GaussianSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
232 | abs_res_by_G = (temp_n.transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:265:34: required from ‘double GaussianSolver<TG>::check_duality_gap(double, double, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
265 | current_dual_objective = update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
GaussianSolver.h:159:23: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
159 | duality_gap = check_duality_gap(lambda_1, lambda_2, false);
| ^~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GaussianSolver.h:232:84: required from ‘double GaussianSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
232 | abs_res_by_G = (temp_n.transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:265:34: required from ‘double GaussianSolver<TG>::check_duality_gap(double, double, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
265 | current_dual_objective = update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
GaussianSolver.h:159:23: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
159 | duality_gap = check_duality_gap(lambda_1, lambda_2, false);
| ^~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GaussianSolver.h:233:124: required from ‘double GaussianSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
233 | abs_res_by_GxE = (temp_n.cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g) * normalize_weights_e;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:265:34: required from ‘double GaussianSolver<TG>::check_duality_gap(double, double, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
265 | current_dual_objective = update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
GaussianSolver.h:159:23: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
159 | duality_gap = check_duality_gap(lambda_1, lambda_2, false);
| ^~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; U = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
BinomialSolver.h:341:80: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
341 | primal_objective = (-Y.cwiseProduct(xbeta) + log_one_plus_exp(xbeta)).dot(weights_user) + lambda_1 * (b_g.cwiseAbs().cwiseMax(b_gxe.cwiseAbs())).sum() + lambda_2 * b_gxe.cwiseAbs().sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
GaussianSolver.h:253:69: required from ‘double GaussianSolver<TG>::update_inner_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
253 | abs_inner_res_by_GxE[i] = std::abs(G.col(working_set[i]).dot(temp_n.cwiseProduct(E))) * normalize_weights_g[working_set[i]] * normalize_weights_e;
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:263:34: required from ‘double GaussianSolver<TG>::check_duality_gap(double, double, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
263 | current_dual_objective = update_inner_nu(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~
GaussianSolver.h:159:23: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
159 | duality_gap = check_duality_gap(lambda_1, lambda_2, false);
| ^~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:164:19: required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator[](Eigen::Index) const [with Derived = Eigen::Ref<Eigen::Matrix<double, -1, 1> >; CoeffReturnType = const double&; Eigen::Index = long int]’
164 | return coeff(index);
| ~~~~~^~~~~~~
BinomialSolver.h:279:30: required from ‘double BinomialSolver<TG>::naive_projection(double, double, const Eigen::Ref<Eigen::Matrix<double, -1, 1> >&, const Eigen::Ref<Eigen::Matrix<double, -1, 1> >&, const VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
279 | if (abs_nu_by_GxE[i] * lambda_1 - abs_nu_by_G[i] * lambda_2 <= 0) {
BinomialSolver.h:312:15: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
312 | x_opt = naive_projection(lambda_1, lambda_2, abs_nu_by_G, abs_nu_by_GxE, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:341:155: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
341 | primal_objective = (-Y.cwiseProduct(xbeta) + log_one_plus_exp(xbeta)).dot(weights_user) + lambda_1 * (b_g.cwiseAbs().cwiseMax(b_gxe.cwiseAbs())).sum() + lambda_2 * b_gxe.cwiseAbs().sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:341:191: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
341 | primal_objective = (-Y.cwiseProduct(xbeta) + log_one_plus_exp(xbeta)).dot(weights_user) + lambda_1 * (b_g.cwiseAbs().cwiseMax(b_gxe.cwiseAbs())).sum() + lambda_2 * b_gxe.cwiseAbs().sum();
| ~~~~~~~~~~~~~~~~~~~~^~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Functor = add_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Func = add_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::Matrix<double, -1, 1>]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:367:15: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
367 | b_c += b_diff.tail(C.cols());
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; U = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
BinomialSolver.h:341:80: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
341 | primal_objective = (-Y.cwiseProduct(xbeta) + log_one_plus_exp(xbeta)).dot(weights_user) + lambda_1 * (b_g.cwiseAbs().cwiseMax(b_gxe.cwiseAbs())).sum() + lambda_2 * b_gxe.cwiseAbs().sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 1>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, 1, 1, 0, 1, 1>’
178 | class Matrix
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:558:65: required from ‘void Eigen::FullPivHouseholderQR<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix<double, -1, 1>; DstType = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
558 | Matrix<typename RhsType::Scalar,1,RhsType::ColsAtCompileTime> temp(rhs.cols());
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
GaussianSolver.h:253:69: required from ‘double GaussianSolver<TG>::update_inner_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
253 | abs_inner_res_by_GxE[i] = std::abs(G.col(working_set[i]).dot(temp_n.cwiseProduct(E))) * normalize_weights_g[working_set[i]] * normalize_weights_e;
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:263:34: required from ‘double GaussianSolver<TG>::check_duality_gap(double, double, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
263 | current_dual_objective = update_inner_nu(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~
GaussianSolver.h:159:23: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
159 | duality_gap = check_duality_gap(lambda_1, lambda_2, false);
| ^~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, -1, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, -1, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 0, -1, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 0, -1, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 0, -1, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1, 1, 1, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1, 1, 1, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1, 1, 1, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0, 3>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > > >’
38 | >::type Scalar;
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
131 | this->row(0) -= tau * tmp;
| ~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:564:33: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
132 | bottom.noalias() -= tau * essential * tmp;
| ~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:564:33: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0, 4>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from ‘Derived& Eigen::DenseBase<Derived>::operator*=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
20 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:123:11: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
123 | *this *= Scalar(1)-tau;
| ~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:564:33: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Scalar = double]’
347 | return derived() = Constant(rows(), cols(), val);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>]’
548 | return setConstant(Scalar(0));
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:573:96: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:363:15: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
363 | xbeta += X_1_E_C * b_diff;
| ~~~~~~^~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:363:15: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
363 | xbeta += X_1_E_C * b_diff;
| ~~~~~~^~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:97:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:125:66: required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’
125 | Map<Matrix<RhsScalar,Dynamic,1> >(rhs+s,r) -= rhs[i] * cjLhs.col(i).segment(s,r);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’
370 | typedef typename nested_eval<Rhs,1>::type RhsNested;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
478 | return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>’
369 | typedef typename nested_eval<Lhs,1>::type LhsNested;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
485 | return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:363:15: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
363 | xbeta += X_1_E_C * b_diff;
| ~~~~~~^~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
296 | dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size());
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:363:15: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
363 | xbeta += X_1_E_C * b_diff;
| ~~~~~~^~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Functor = swap_assign_op<double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Func = swap_assign_op<double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>]’
424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:562:18: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1, 3>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 4>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:363:15: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
363 | xbeta += X_1_E_C * b_diff;
| ~~~~~~^~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:363:15: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
363 | xbeta += X_1_E_C * b_diff;
| ~~~~~~^~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >; Functor = mul_assign_op<double, double>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >; Functor = Eigen::internal::mul_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >; Func = mul_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >; Func = mul_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:28: required from ‘Derived& Eigen::DenseBase<Derived>::operator*=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
20 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:123:11: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, -1, 1, true, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, -1, 1, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, -1, 1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:52: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:43: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]’
366 | dest += (alpha*actual_rhs.coeff(k)) * lhs.col(k);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’
207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
| ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:330:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:147:40: required from ‘void Eigen::internal::evaluateProductBlockingSizesHeuristic(Index&, Index&, Index&, Index) [with LhsScalar = double; RhsScalar = double; int KcFactor = 1; Index = long int]’
147 | typedef typename Traits::ResScalar ResScalar;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:342:81: required from ‘void Eigen::internal::computeProductBlockingSizes(Index&, Index&, Index&, Index) [with LhsScalar = double; RhsScalar = double; int KcFactor = 1; Index = long int]’
342 | evaluateProductBlockingSizesHeuristic<LhsScalar, RhsScalar, KcFactor, Index>(k, m, n, num_threads);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:355:66: required from ‘Eigen::internal::gemm_blocking_space<StorageOrder, _LhsScalar, _RhsScalar, MaxRows, MaxCols, MaxDepth, KcFactor, false>::gemm_blocking_space(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, bool) [with int StorageOrder = 0; _LhsScalar = double; _RhsScalar = double; int MaxRows = -1; int MaxCols = -1; int MaxDepth = -1; int KcFactor = 1; Eigen::Index = long int]’
355 | computeProductBlockingSizes<LhsScalar,RhsScalar,KcFactor>(this->m_kc, this->m_mc, this->m_nc, num_threads);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:507:18: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
507 | BlockingType blocking(dst.rows(), dst.cols(), lhs.cols(), 1, true);
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
460 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
461 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
462 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
465 | typedef QuadPacket<RhsPacket> RhsPacketx4;
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 1>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel<double, double, long int, Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>, 4, 4, false, false>’
1080 | typedef typename HalfTraits::LhsPacket LhsPacketHalf;
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’
82 | gebp_kernel<LhsScalar, RhsScalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, double, 0, false, double, 0, false, 0, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’
230 | Gemm::run(rows, cols, m_lhs.cols(),
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
234 | m_actualAlpha, m_blocking, info);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<double, long int, general_matrix_matrix_product<long int, double, 0, false, double, 0, false, 0, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’
114 | func(0,rows, 0,cols);
| ~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
460 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
461 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
462 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
465 | typedef QuadPacket<RhsPacket> RhsPacketx4;
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 2>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel<double, double, long int, Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>, 4, 4, false, false>’
1085 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’
82 | gebp_kernel<LhsScalar, RhsScalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, double, 0, false, double, 0, false, 0, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’
230 | Gemm::run(rows, cols, m_lhs.cols(),
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
234 | m_actualAlpha, m_blocking, info);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<double, long int, general_matrix_matrix_product<long int, double, 0, false, double, 0, false, 0, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’
114 | func(0,rows, 0,cols);
| ~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
460 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
461 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
462 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
465 | typedef QuadPacket<RhsPacket> RhsPacketx4;
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:363:15: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
363 | xbeta += X_1_E_C * b_diff;
| ~~~~~~^~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:363:15: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
363 | xbeta += X_1_E_C * b_diff;
| ~~~~~~^~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76: required from ‘struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’
526 | typedef typename internal::nested_eval<Lhs,Rhs::ColsAtCompileTime>::type LhsNested;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:527:76: required from ‘struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’
527 | typedef typename internal::nested_eval<Rhs,Lhs::RowsAtCompileTime>::type RhsNested;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1> >’
29 | struct evaluator<Product<Lhs, Rhs, Options> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>; Functor = assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:184:17: required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’
184 | pack_lhs(blockA, lhs.getSubMapper(i2,k2), actual_kc, actual_mc);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, double, 0, false, double, 0, false, 0, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’
230 | Gemm::run(rows, cols, m_lhs.cols(),
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
234 | m_actualAlpha, m_blocking, info);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<double, long int, general_matrix_matrix_product<long int, double, 0, false, double, 0, false, 0, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’
114 | func(0,rows, 0,cols);
| ~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2100 | typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2102 | HalfPacketSize = unpacket_traits<HalfPacket>::size,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2103 | QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:195:21: required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’
195 | pack_rhs(blockB, rhs.getSubMapper(k2,j2), actual_kc, actual_nc);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, double, 0, false, double, 0, false, 0, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’
230 | Gemm::run(rows, cols, m_lhs.cols(),
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
234 | m_actualAlpha, m_blocking, info);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<double, long int, general_matrix_matrix_product<long int, double, 0, false, double, 0, false, 0, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’
114 | func(0,rows, 0,cols);
| ~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
2459 | PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:198:15: required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’
198 | gebp(res.getSubMapper(i2, j2), blockA, blockB, actual_mc, actual_kc, actual_nc, alpha);
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, double, 0, false, double, 0, false, 0, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’
230 | Gemm::run(rows, cols, m_lhs.cols(),
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
234 | m_actualAlpha, m_blocking, info);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<double, long int, general_matrix_matrix_product<long int, double, 0, false, double, 0, false, 0, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’
114 | func(0,rows, 0,cols);
| ~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
1920 | const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
1921 | const int SResPacketQuarterSize = unpacket_traits<typename unpacket_traits<typename unpacket_traits<SResPacket>::half>::half>::size;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
1977 | typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
1978 | typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
1979 | typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SRhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
1980 | typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
1043 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long int]’
606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, -1, 1, true> >; Functor = add_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, -1, 1, true> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’
606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, 1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’
606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’
606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long int]’
654 | m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
| ~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:308:21: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
308 | abs_nu_by_G = (nu.cwiseProduct(weights_user).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:308:21: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
308 | abs_nu_by_G = (nu.cwiseProduct(weights_user).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GaussianSolver.h:232:22: required from ‘double GaussianSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
232 | abs_res_by_G = (temp_n.transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:265:34: required from ‘double GaussianSolver<TG>::check_duality_gap(double, double, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
265 | current_dual_objective = update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
GaussianSolver.h:159:23: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
159 | duality_gap = check_duality_gap(lambda_1, lambda_2, false);
| ^~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, 1, -1>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:308:21: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
308 | abs_nu_by_G = (nu.cwiseProduct(weights_user).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Transpose<const Eigen::Map<Eigen::SparseMatrix<double, 0, int> > > >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase<Eigen::Transpose<const Eigen::Map<Eigen::SparseMatrix<double, 0, int> > > >’
36 | class SparseCompressedBase
| ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl<const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 1024>’
22 | class SparseTransposeImpl<MatrixType,CompressedAccessBit>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl<const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Sparse>’
45 | template<typename MatrixType> class TransposeImpl<MatrixType,Sparse>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Map<Eigen::SparseMatrix<double, 0, int> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:216:60: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::SparseShape, ProductType>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, 1, -1>; Lhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >; Rhs = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; int ProductType = 7; Scalar = double]’
216 | internal::sparse_time_dense_product(rhsNested.transpose(), lhsNested.transpose(), dstT, alpha);
| ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:308:21: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
308 | abs_nu_by_G = (nu.cwiseProduct(weights_user).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:216:83: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GaussianSolver.h:232:22: required from ‘double GaussianSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
232 | abs_res_by_G = (temp_n.transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:265:34: required from ‘double GaussianSolver<TG>::check_duality_gap(double, double, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
265 | current_dual_objective = update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
GaussianSolver.h:159:23: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
159 | duality_gap = check_duality_gap(lambda_1, lambda_2, false);
| ^~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:308:21: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
308 | abs_nu_by_G = (nu.cwiseProduct(weights_user).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Dest = Eigen::Matrix<double, 1, -1>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’
207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
| ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:308:21: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
308 | abs_nu_by_G = (nu.cwiseProduct(weights_user).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:308:21: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
308 | abs_nu_by_G = (nu.cwiseProduct(weights_user).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:308:21: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
308 | abs_nu_by_G = (nu.cwiseProduct(weights_user).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:308:21: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
308 | abs_nu_by_G = (nu.cwiseProduct(weights_user).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GaussianSolver.h:232:22: required from ‘double GaussianSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
232 | abs_res_by_G = (temp_n.transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:265:34: required from ‘double GaussianSolver<TG>::check_duality_gap(double, double, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
265 | current_dual_objective = update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
GaussianSolver.h:159:23: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
159 | duality_gap = check_duality_gap(lambda_1, lambda_2, false);
| ^~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GaussianSolver.h:232:22: required from ‘double GaussianSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
232 | abs_res_by_G = (temp_n.transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:265:34: required from ‘double GaussianSolver<TG>::check_duality_gap(double, double, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
265 | current_dual_objective = update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
GaussianSolver.h:159:23: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
159 | duality_gap = check_duality_gap(lambda_1, lambda_2, false);
| ^~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GaussianSolver.h:232:22: required from ‘double GaussianSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
232 | abs_res_by_G = (temp_n.transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:265:34: required from ‘double GaussianSolver<TG>::check_duality_gap(double, double, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
265 | current_dual_objective = update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
GaussianSolver.h:159:23: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
159 | duality_gap = check_duality_gap(lambda_1, lambda_2, false);
| ^~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GaussianSolver.h:232:22: required from ‘double GaussianSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
232 | abs_res_by_G = (temp_n.transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:265:34: required from ‘double GaussianSolver<TG>::check_duality_gap(double, double, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
265 | current_dual_objective = update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
GaussianSolver.h:159:23: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
159 | duality_gap = check_duality_gap(lambda_1, lambda_2, false);
| ^~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:308:21: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
308 | abs_nu_by_G = (nu.cwiseProduct(weights_user).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:308:21: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
308 | abs_nu_by_G = (nu.cwiseProduct(weights_user).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:309:23: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
309 | abs_nu_by_GxE = (nu.cwiseProduct(weights_user).cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g) * normalize_weights_e;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GaussianSolver.h:232:22: required from ‘double GaussianSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
232 | abs_res_by_G = (temp_n.transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:265:34: required from ‘double GaussianSolver<TG>::check_duality_gap(double, double, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
265 | current_dual_objective = update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
GaussianSolver.h:159:23: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
159 | duality_gap = check_duality_gap(lambda_1, lambda_2, false);
| ^~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Dest = Eigen::Matrix<double, 1, -1>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’
207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
| ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:309:23: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
309 | abs_nu_by_GxE = (nu.cwiseProduct(weights_user).cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g) * normalize_weights_e;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:308:21: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
308 | abs_nu_by_G = (nu.cwiseProduct(weights_user).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:309:23: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
309 | abs_nu_by_GxE = (nu.cwiseProduct(weights_user).cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g) * normalize_weights_e;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:309:23: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
309 | abs_nu_by_GxE = (nu.cwiseProduct(weights_user).cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g) * normalize_weights_e;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GaussianSolver.h:232:22: required from ‘double GaussianSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
232 | abs_res_by_G = (temp_n.transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:265:34: required from ‘double GaussianSolver<TG>::check_duality_gap(double, double, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
265 | current_dual_objective = update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
GaussianSolver.h:159:23: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
159 | duality_gap = check_duality_gap(lambda_1, lambda_2, false);
| ^~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:309:23: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
309 | abs_nu_by_GxE = (nu.cwiseProduct(weights_user).cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g) * normalize_weights_e;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:309:23: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
309 | abs_nu_by_GxE = (nu.cwiseProduct(weights_user).cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g) * normalize_weights_e;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
g++-14 -std=gnu++11 -I"/home/hornik/tmp/R.check/r-devel-gcc/Work/build/include" -DNDEBUG -I'/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/Rcpp/include' -I'/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include' -I'/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppThread/include' -I'/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include' -I'/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/bigmemory/include' -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c rcpp_wrappers_fit.cpp -o rcpp_wrappers_fit.o
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/smart_ptr/shared_ptr.hpp:18,
from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/shared_ptr.hpp:17,
from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/bigmemory/include/bigmemory/BigMatrix.h:10,
from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/bigmemory/include/bigmemory/MatrixAccessor.hpp:4,
from rcpp_wrappers_fit.cpp:1:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/smart_ptr/detail/shared_count.hpp:361:33: warning: ‘template<class> class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
361 | explicit shared_count( std::auto_ptr<Y> & r ): pi_( new sp_counted_impl_p<Y>( r.get() ) )
| ^~~~~~~~
In file included from /usr/include/c++/14/memory:78,
from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/smart_ptr/detail/sp_counted_impl.hpp:35,
from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/smart_ptr/detail/shared_count.hpp:27:
/usr/include/c++/14/bits/unique_ptr.h:59:28: note: declared here
59 | template<typename> class auto_ptr;
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/smart_ptr/shared_ptr.hpp:251:65: warning: ‘template<class> class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
251 | template< class T, class R > struct sp_enable_if_auto_ptr< std::auto_ptr< T >, R >
| ^~~~~~~~
/usr/include/c++/14/bits/unique_ptr.h:59:28: note: declared here
59 | template<typename> class auto_ptr;
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/smart_ptr/shared_ptr.hpp:508:31: warning: ‘template<class> class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
508 | explicit shared_ptr( std::auto_ptr<Y> & r ): px(r.get()), pn()
| ^~~~~~~~
/usr/include/c++/14/bits/unique_ptr.h:59:28: note: declared here
59 | template<typename> class auto_ptr;
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/smart_ptr/shared_ptr.hpp:521:22: warning: ‘template<class> class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
521 | shared_ptr( std::auto_ptr<Y> && r ): px(r.get()), pn()
| ^~~~~~~~
/usr/include/c++/14/bits/unique_ptr.h:59:28: note: declared here
59 | template<typename> class auto_ptr;
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/smart_ptr/shared_ptr.hpp:604:34: warning: ‘template<class> class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
604 | shared_ptr & operator=( std::auto_ptr<Y> & r )
| ^~~~~~~~
/usr/include/c++/14/bits/unique_ptr.h:59:28: note: declared here
59 | template<typename> class auto_ptr;
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/smart_ptr/shared_ptr.hpp:613:34: warning: ‘template<class> class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
613 | shared_ptr & operator=( std::auto_ptr<Y> && r )
| ^~~~~~~~
/usr/include/c++/14/bits/unique_ptr.h:59:28: note: declared here
59 | template<typename> class auto_ptr;
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/smart_ptr/shared_ptr.hpp: In member function ‘boost::shared_ptr<T>& boost::shared_ptr<T>::operator=(std::auto_ptr<_Up>&&)’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/BH/include/boost/smart_ptr/shared_ptr.hpp:615:38: warning: ‘template<class> class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
615 | this_type( static_cast< std::auto_ptr<Y> && >( r ) ).swap( *this );
| ^~~~~~~~
/usr/include/c++/14/bits/unique_ptr.h:59:28: note: declared here
59 | template<typename> class auto_ptr;
| ^~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:205,
from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:28,
from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
from rcpp_wrappers_fit.cpp:3:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h: At global scope:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
49 | template<> struct is_arithmetic<__m128> { enum { value = true }; };
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
222 | template<> struct unpacket_traits<Packet4f> {
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
228 | template<> struct unpacket_traits<Packet2d> {
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
| ^
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:174:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
16 | struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> { \
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
29 | struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> { \
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
16 | struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> { \
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
29 | struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> { \
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:165:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
266 | Alignment = internal::traits<Coefficients>::Alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here
24 | ResAlignment = traits<Quaternion<float> >::Alignment
| ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:271:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<float, 4, 1>’
178 | class Matrix
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType;
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion<float>’
273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here
27 | {
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
266 | Alignment = internal::traits<Coefficients>::Alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here
98 | ResAlignment = traits<Quaternion<double> >::Alignment
| ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, 4, 1>’
178 | class Matrix
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType;
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion<double>’
273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here
102 | {
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/SparseCore:37,
from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Sparse:26,
from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:29:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
36 | class SparseCompressedBase
| ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix<double, 0, int>’
96 | class SparseMatrix
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here
61 | typedef Triplet<double> T;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, 1> >’
22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from ‘struct Eigen::internal::traits<const Eigen::Matrix<double, -1, 1> >’
23 | template<typename T> struct traits<const T> : traits<T> {};
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:18:8: required from ‘struct Eigen::internal::traits<Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
18 | struct traits<Map<PlainObjectType, MapOptions, StrideType> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level<Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
32 | enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, 1> >’
111 | int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Solver.h:71:10: required from here
71 | MapVec E;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, -1, 1>’
178 | class Matrix
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits<Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
24 | ? PlainObjectType::ColsAtCompileTime
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level<Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
32 | enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, 1> >’
111 | int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Solver.h:71:10: required from here
71 | MapVec E;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, 1> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
Solver.h:71:10: required from here
71 | MapVec E;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, -1, -1>’
178 | class Matrix
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >’
24 | ? PlainObjectType::ColsAtCompileTime
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >’
32 | enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1> >’
111 | int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Solver.h:73:10: required from here
73 | MapMat C;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
Solver.h:73:10: required from here
73 | MapMat C;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
Solver.h:125:9: required from here
125 | E(E_.data(), E_.rows()),
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
Solver.h:127:9: required from here
127 | C(C_.data(), C_.rows(), C_.cols()),
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int> > >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int> > >’
36 | class SparseCompressedBase
| ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0>’
50 | class SparseMapBase<Derived,ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 1>’
148 | class SparseMapBase<Derived,WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map<Eigen::SparseMatrix<double, 0, int> >’
222 | class Map<SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Solver.h:163:9: required from here
163 | n(G_.rows()),
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:210:62: required from here
210 | normalize_weights_e = 1.0 / std::sqrt(E.cwiseProduct(E).dot(weights_user) - sqr(E.dot(weights_user)));
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:219:59: required from here
219 | temp_n = normalize_weights_e * temp_n.cwiseProduct(E);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
38 | >::type Scalar;
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:219:59: required from here
219 | temp_n = normalize_weights_e * temp_n.cwiseProduct(E);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:219:59: required from here
219 | temp_n = normalize_weights_e * temp_n.cwiseProduct(E);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Matrix<double, -1, 1> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
Solver.h:223:32: required from here
223 | norm_G = norm2_G.cwiseSqrt();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:258:78: required from here
258 | temp_p = norm2_G.cwiseProduct(norm2_GxE) - G_by_GxE.cwiseProduct(G_by_GxE);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:258:78: required from here
258 | temp_p = norm2_G.cwiseProduct(norm2_GxE) - G_by_GxE.cwiseProduct(G_by_GxE);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:259:56: required from here
259 | case1_A22_div_detA = norm2_GxE.cwiseQuotient(temp_p);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:286:127: required from here
286 | xbeta -= normalize_weights_g[index] * G.col(index).cwiseProduct((b_g[index] + ((normalize_weights_e * b_gxe[index]) * E).array()).matrix());
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
Solver.h:286:134: required from here
286 | xbeta -= normalize_weights_g[index] * G.col(index).cwiseProduct((b_g[index] + ((normalize_weights_e * b_gxe[index]) * E).array()).matrix());
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > >’
38 | >::type Scalar;
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:286:136: required from here
286 | xbeta -= normalize_weights_g[index] * G.col(index).cwiseProduct((b_g[index] + ((normalize_weights_e * b_gxe[index]) * E).array()).matrix());
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:286:136: required from here
286 | xbeta -= normalize_weights_g[index] * G.col(index).cwiseProduct((b_g[index] + ((normalize_weights_e * b_gxe[index]) * E).array()).matrix());
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:288:80: required from here
288 | temp_n = normalize_weights_g[index] * (Z_w - xbeta.cwiseProduct(weights)).cwiseProduct(G.col(index));
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:485:54: required from here
485 | return b_gxe.cwiseProduct(normalize_weights_g) * normalize_weights_e;
| ^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, 1, -1>’
178 | class Matrix
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:418:19: required from ‘class Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >’
418 | RowVectorType m_temp;
| ^~~~~~
GaussianSolver.h:76:38: required from here
76 | Eigen::FullPivHouseholderQR<MatXd> intercept_system_A_qr;
| ^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, 1> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, 1> >, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase<Eigen::Ref<Eigen::Matrix<double, -1, 1> > >’
59 | template<typename Derived> class RefBase
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from ‘class Eigen::Ref<Eigen::Matrix<double, -1, 1> >’
281 | template<typename PlainObjectType, int Options, typename StrideType> class Ref
| ^~~
GaussianSolver.h:202:39: required from here
202 | for (int i = 0; i < abs_res_by_G.size(); ++i) {
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GaussianSolver.h:274:77: required from here
274 | ArrayXd d_j = (lambda_1 - lambda_2 - (std::fabs(x_opt) * abs_res_by_G).array() - (lambda_2 - r * norm_GxE.array()).max((std::fabs(x_opt) * abs_res_by_GxE).array())) / (norm_GxE + norm_G).array();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
GaussianSolver.h:274:84: required from here
274 | ArrayXd d_j = (lambda_1 - lambda_2 - (std::fabs(x_opt) * abs_res_by_G).array() - (lambda_2 - r * norm_GxE.array()).max((std::fabs(x_opt) * abs_res_by_GxE).array())) / (norm_GxE + norm_G).array();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
GaussianSolver.h:278:55: required from here
278 | safe_set_zero = (upperbound_nu_by_GxE.array() - lambda_2).max(0) < (lambda_1 - upperbound_nu_by_G.array());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GaussianSolver.h:278:64: required from here
278 | safe_set_zero = (upperbound_nu_by_GxE.array() - lambda_2).max(0) < (lambda_1 - upperbound_nu_by_G.array());
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
38 | >::type Scalar;
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GaussianSolver.h:278:112: required from here
278 | safe_set_zero = (upperbound_nu_by_GxE.array() - lambda_2).max(0) < (lambda_1 - upperbound_nu_by_G.array());
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GaussianSolver.h:278:112: required from here
278 | safe_set_zero = (upperbound_nu_by_GxE.array() - lambda_2).max(0) < (lambda_1 - upperbound_nu_by_G.array());
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GaussianSolver.h:278:112: required from here
278 | safe_set_zero = (upperbound_nu_by_GxE.array() - lambda_2).max(0) < (lambda_1 - upperbound_nu_by_G.array());
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array<double, -1, 1>’
45 | class Array
| ^~~~~
GaussianSolver.h:278:112: required from here
278 | safe_set_zero = (upperbound_nu_by_GxE.array() - lambda_2).max(0) < (lambda_1 - upperbound_nu_by_G.array());
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<std::reference_wrapper<double(double)>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<std::reference_wrapper<double(double)>, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<std::reference_wrapper<double(double)>, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<std::reference_wrapper<double(double)>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<std::reference_wrapper<double(double)>, const Eigen::Matrix<double, -1, 1> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
BinomialSolver.h:37:23: required from here
37 | return z.unaryExpr(std::ref(sigmoid_scalar));
| ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
BinomialSolver.h:171:21: required from here
171 | X_1_E_C.col(0).setOnes();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, -1> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
BinomialSolver.h:179:41: required from here
179 | X_1_E_C_w_t = X_1_E_C_w.transpose();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
BinomialSolver.h:356:36: required from here
356 | minus_grad = X_1_E_C_w_t * nu;
| ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
BinomialSolver.h:357:34: required from here
357 | if (minus_grad.cwiseAbs().maxCoeff() < 1e-10) {
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
86 | class SolveImpl<Decomposition,RhsType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >’
62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
| ^~~~~
BinomialSolver.h:362:59: required from here
362 | b_diff = H.fullPivHouseholderQr().solve(minus_grad);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase<Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true> >’
36 | class SparseCompressedBase
| ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from ‘class Eigen::internal::sparse_matrix_block_impl<Eigen::SparseMatrix<double, 0, int>, -1, 1>’
96 | class sparse_matrix_block_impl
| ^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from ‘class Eigen::BlockImpl<Eigen::SparseMatrix<double, 0, int>, -1, 1, true, Eigen::Sparse>’
287 | class BlockImpl<SparseMatrix<_Scalar, _Options, _StorageIndex>,BlockRows,BlockCols,true,Sparse>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
rcpp_wrappers_fit.cpp:88:17: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
88 | beta_g.col(index) = solver->get_b_g().sparseView();
| ~~~~~~~~~~^~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseView<Eigen::Matrix<double, -1, 1> > >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseView.h:45:7: required from ‘class Eigen::SparseView<Eigen::Matrix<double, -1, 1> >’
45 | class SparseView : public SparseMatrixBase<SparseView<MatrixType> >
| ^~~~~~~~~~
rcpp_wrappers_fit.cpp:88:55: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
88 | beta_g.col(index) = solver->get_b_g().sparseView();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> > >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase<Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> > >’
36 | class SparseCompressedBase
| ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase<Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> >, 0>’
50 | class SparseMapBase<Derived,ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:83:34: required from ‘class Eigen::internal::SparseRefBase<Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> > >’
83 | template<typename Derived> class SparseRefBase
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:177:7: required from ‘class Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> >’
177 | class Ref<const SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:128:88: required from ‘Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::BlockType& Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::SparseView<Eigen::Matrix<double, -1, 1> >; SparseMatrixType = Eigen::SparseMatrix<double, 0, int>; int BlockRows = -1; int BlockCols = 1; BlockType = Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true>]’
128 | Ref<const SparseMatrix<Scalar, IsRowMajor ? RowMajor : ColMajor, StorageIndex> > tmp(other.derived());
| ^~~
rcpp_wrappers_fit.cpp:88:25: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
88 | beta_g.col(index) = solver->get_b_g().sparseView();
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Block<Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7: required from ‘class Eigen::BlockImpl<Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> >, -1, 1, true, Eigen::Sparse>’
17 | class BlockImpl<XprType,BlockRows,BlockCols,true,Sparse>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> >, -1, 1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:194:85: required from ‘Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::BlockType& Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::SparseView<Eigen::Matrix<double, -1, 1> >; SparseMatrixType = Eigen::SparseMatrix<double, 0, int>; int BlockRows = -1; int BlockCols = 1; BlockType = Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true>]’
194 | StorageIndex nnz_k = internal::convert_index<StorageIndex>(tmp.innerVector(k).nonZeros());
| ~~~~~~~~~~~~~~~^~~
rcpp_wrappers_fit.cpp:88:25: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
88 | beta_g.col(index) = solver->get_b_g().sparseView();
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GaussianSolver.h:118:27: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
118 | Z_w = Y.cwiseProduct(weights);
| ~~~~~~~~~~~~~~^~~~~~~~~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
GaussianSolver.h:125:45: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
125 | intercept_system_A(0, i + 2) = C.col(i).dot(weights);
| ~~~~~^~~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:173:26: required from ‘void BinomialSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
173 | X_1_E_C.col(1) = E * normalize_weights_e;
| ~~^~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:164:7: required from ‘BinomialSolver<TG>::BinomialSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
164 | init();
| ^~~~
rcpp_wrappers_fit.cpp:34:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
34 | new BinomialSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:174:55: required from ‘void BinomialSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
174 | X_1_E_C_w.col(1) = E.cwiseProduct(weights_user) * normalize_weights_e;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:164:7: required from ‘BinomialSolver<TG>::BinomialSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
164 | init();
| ^~~~
rcpp_wrappers_fit.cpp:34:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
34 | new BinomialSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:177:53: required from ‘void BinomialSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
177 | X_1_E_C_w.col(i + 2) = C.col(i).cwiseProduct(weights_user);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
BinomialSolver.h:164:7: required from ‘BinomialSolver<TG>::BinomialSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
164 | init();
| ^~~~
rcpp_wrappers_fit.cpp:34:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
34 | new BinomialSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> > > >’
336 | typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:364:8: required from ‘struct Eigen::internal::evaluator<Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> > >’
364 | struct evaluator<Ref<const SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:45:21: required from ‘Eigen::Index Eigen::BlockImpl<XprType, BlockRows, BlockCols, true, Eigen::Sparse>::nonZeros() const [with XprType = Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> >; int BlockRows = -1; int BlockCols = 1; Eigen::Index = long int]’
45 | EvaluatorType matEval(m_matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:194:97: required from ‘Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::BlockType& Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::SparseView<Eigen::Matrix<double, -1, 1> >; SparseMatrixType = Eigen::SparseMatrix<double, 0, int>; int BlockRows = -1; int BlockCols = 1; BlockType = Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true>]’
194 | StorageIndex nnz_k = internal::convert_index<StorageIndex>(tmp.innerVector(k).nonZeros());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_wrappers_fit.cpp:88:25: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
88 | beta_g.col(index) = solver->get_b_g().sparseView();
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7: required from ‘class Eigen::BlockImpl<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true, Eigen::Sparse>’
17 | class BlockImpl<XprType,BlockRows,BlockCols,true,Sparse>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
Solver.h:208:55: required from ‘void Solver<TG>::base_init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
208 | normalize_weights_g[i] = 1.0 / std::sqrt(G.col(i).cwiseProduct(G.col(i)).dot(weights_user) - sqr(G.col(i).dot(weights_user)));
| ~~~~~^~~
Solver.h:195:5: required from ‘Solver<TG>::Solver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
195 | base_init();
| ^~~~~~~~~
GaussianSolver.h:111:37: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
111 | intercept_system_B(2 + C_.cols()) {
| ^
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> > >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, Eigen::Sparse>’
36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:208:71: required from ‘void Solver<TG>::base_init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
208 | normalize_weights_g[i] = 1.0 / std::sqrt(G.col(i).cwiseProduct(G.col(i)).dot(weights_user) - sqr(G.col(i).dot(weights_user)));
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
Solver.h:195:5: required from ‘Solver<TG>::Solver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
195 | base_init();
| ^~~~~~~~~
GaussianSolver.h:111:37: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
111 | intercept_system_B(2 + C_.cols()) {
| ^
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Sparse>’
36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:217:48: required from ‘void Solver<TG>::base_init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
217 | temp_n = G.col(i).cwiseProduct(G.col(i)) * sqr(normalize_weights_g[i]);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Solver.h:195:5: required from ‘Solver<TG>::Solver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
195 | base_init();
| ^~~~~~~~~
GaussianSolver.h:111:37: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
111 | intercept_system_B(2 + C_.cols()) {
| ^
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
In file included from rcpp_wrappers_fit.cpp:7:
Solver.h: In instantiation of ‘void Solver<TG>::update_weighted_variables(bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’:
GaussianSolver.h:117:32: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
117 | update_weighted_variables(false);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Solver.h:237:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
237 | for (int j = 0; j < working_set.size(); ++j) {
| ~~^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:208:71: required from ‘void Solver<TG>::base_init() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
208 | normalize_weights_g[i] = 1.0 / std::sqrt(G.col(i).cwiseProduct(G.col(i)).dot(weights_user) - sqr(G.col(i).dot(weights_user)));
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
Solver.h:154:5: required from ‘Solver<TG>::Solver(const MapMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; MapMat = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
154 | base_init();
| ^~~~~~~~~
GaussianSolver.h:93:39: required from ‘GaussianSolver<TG>::GaussianSolver(const MapMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; MapMat = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
93 | intercept_system_B(2 + C_.cols()) {
| ^
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:156:32: required from here
156 | return fitModelRcpp<MapMat>(Gmap, E, Y, C, weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
157 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:217:48: required from ‘void Solver<TG>::base_init() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
217 | temp_n = G.col(i).cwiseProduct(G.col(i)) * sqr(normalize_weights_g[i]);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Solver.h:154:5: required from ‘Solver<TG>::Solver(const MapMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; MapMat = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
154 | base_init();
| ^~~~~~~~~
GaussianSolver.h:93:39: required from ‘GaussianSolver<TG>::GaussianSolver(const MapMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; MapMat = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
93 | intercept_system_B(2 + C_.cols()) {
| ^
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:156:32: required from here
156 | return fitModelRcpp<MapMat>(Gmap, E, Y, C, weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
157 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
Solver.h: In instantiation of ‘void Solver<TG>::update_weighted_variables(bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’:
GaussianSolver.h:117:32: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
117 | update_weighted_variables(false);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
GaussianSolver.h:94:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; MapMat = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
94 | init();
| ^~~~
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:156:32: required from here
156 | return fitModelRcpp<MapMat>(Gmap, E, Y, C, weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
157 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Solver.h:237:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
237 | for (int j = 0; j < working_set.size(); ++j) {
| ~~^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int> > > >’
336 | typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:282:8: required from ‘struct Eigen::internal::evaluator<Eigen::Map<Eigen::SparseMatrix<double, 0, int> > >’
282 | struct evaluator<Map<SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:438:43: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, Eigen::internal::IteratorBased, double>’
438 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8: required from ‘struct Eigen::internal::block_evaluator<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true, false>’
1087 | struct block_evaluator<ArgType, BlockRows, BlockCols, InnerPanel, /*HasDirectAccess*/ false>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8: required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> >’
1034 | struct evaluator<Block<ArgType, BlockRows, BlockCols, InnerPanel> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:407:54: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::SparseMatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
29 | internal::evaluator<Derived> thisEval(derived());
| ^~~~~~~~
Solver.h:208:85: required from ‘void Solver<TG>::base_init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
208 | normalize_weights_g[i] = 1.0 / std::sqrt(G.col(i).cwiseProduct(G.col(i)).dot(weights_user) - sqr(G.col(i).dot(weights_user)));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
Solver.h:195:5: required from ‘Solver<TG>::Solver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
195 | base_init();
| ^~~~~~~~~
GaussianSolver.h:111:37: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
111 | intercept_system_B(2 + C_.cols()) {
| ^
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:277:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:407:54: required from ‘struct Eigen::internal::sparse_conjunction_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>’
407 | typedef typename evaluator<LhsArg>::InnerIterator LhsIterator;
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:334:8: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>’
334 | struct binary_evaluator<CwiseBinaryOp<scalar_product_op<T1,T2>, Lhs, Rhs>, IteratorBased, IteratorBased>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::SparseMatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
29 | internal::evaluator<Derived> thisEval(derived());
| ^~~~~~~~
Solver.h:208:85: required from ‘void Solver<TG>::base_init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
208 | normalize_weights_g[i] = 1.0 / std::sqrt(G.col(i).cwiseProduct(G.col(i)).dot(weights_user) - sqr(G.col(i).dot(weights_user)));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
Solver.h:195:5: required from ‘Solver<TG>::Solver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
195 | base_init();
| ^~~~~~~~~
GaussianSolver.h:111:37: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
111 | intercept_system_B(2 + C_.cols()) {
| ^
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
GaussianSolver.h:121:61: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
121 | intercept_system_A(0, 1) = normalize_weights_e * E.dot(weights);
| ~~~~~^~~~~~~~~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
GaussianSolver.h:123:82: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
123 | intercept_system_A(1, 1) = sqr(normalize_weights_e) * E.cwiseProduct(E).dot(weights);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
GaussianSolver.h:125:52: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
125 | intercept_system_A(0, i + 2) = C.col(i).dot(weights);
| ~~~~~~~~~~~~^~~~~~~~~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Scalar = double]’
347 | return derived() = Constant(rows(), cols(), val);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:700:10: required from ‘Derived& Eigen::DenseBase<Derived>::setOnes() [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>]’
700 | return setConstant(Scalar(1));
| ^~~~~~~~~~~
BinomialSolver.h:171:29: required from ‘void BinomialSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
171 | X_1_E_C.col(0).setOnes();
| ~~~~~~~~~~~~~~~~~~~~~~^~
BinomialSolver.h:164:7: required from ‘BinomialSolver<TG>::BinomialSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
164 | init();
| ^~~~
rcpp_wrappers_fit.cpp:34:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
34 | new BinomialSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; U = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
Solver.h:210:66: required from ‘void Solver<TG>::base_init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
210 | normalize_weights_e = 1.0 / std::sqrt(E.cwiseProduct(E).dot(weights_user) - sqr(E.dot(weights_user)));
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
Solver.h:195:5: required from ‘Solver<TG>::Solver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
195 | base_init();
| ^~~~~~~~~
GaussianSolver.h:111:37: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
111 | intercept_system_B(2 + C_.cols()) {
| ^
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; U = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
Solver.h:210:92: required from ‘void Solver<TG>::base_init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
210 | normalize_weights_e = 1.0 / std::sqrt(E.cwiseProduct(E).dot(weights_user) - sqr(E.dot(weights_user)));
| ~~~~~^~~~~~~~~~~~~~
Solver.h:195:5: required from ‘Solver<TG>::Solver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
195 | base_init();
| ^~~~~~~~~
GaussianSolver.h:111:37: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
111 | intercept_system_B(2 + C_.cols()) {
| ^
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
Solver.h:218:30: required from ‘void Solver<TG>::base_init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
218 | norm2_G[i] = temp_n.dot(weights_user);
| ~~~~~~~~~~^~~~~~~~~~~~~~
Solver.h:195:5: required from ‘Solver<TG>::Solver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
195 | base_init();
| ^~~~~~~~~
GaussianSolver.h:111:37: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
111 | intercept_system_B(2 + C_.cols()) {
| ^
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
Solver.h:240:32: required from ‘void Solver<TG>::update_weighted_variables(bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
240 | norm2_G[i] = temp_n.dot(weights);
| ~~~~~~~~~~^~~~~~~~~
GaussianSolver.h:117:32: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
117 | update_weighted_variables(false);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; CoeffReturnType = double; Eigen::Index = long int]’
142 | EIGEN_STATIC_ASSERT(internal::evaluator<Derived>::Flags & LinearAccessBit,
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:164:19: required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator[](Eigen::Index) const [with Derived = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; CoeffReturnType = double; Eigen::Index = long int]’
164 | return coeff(index);
| ~~~~~^~~~~~~
Solver.h:37:23: required from ‘double triple_dot_product(const A&, const B&, const C&) [with A = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; B = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; C = Eigen::Matrix<double, -1, 1>]’
37 | result += a[i] * b[i] * c[i];
| ~^
GaussianSolver.h:127:80: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
127 | intercept_system_A(1, i + 2) = normalize_weights_e * triple_dot_product(E, C.col(i), weights);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; U = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
Solver.h:208:85: required from ‘void Solver<TG>::base_init() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
208 | normalize_weights_g[i] = 1.0 / std::sqrt(G.col(i).cwiseProduct(G.col(i)).dot(weights_user) - sqr(G.col(i).dot(weights_user)));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
Solver.h:154:5: required from ‘Solver<TG>::Solver(const MapMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; MapMat = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
154 | base_init();
| ^~~~~~~~~
GaussianSolver.h:93:39: required from ‘GaussianSolver<TG>::GaussianSolver(const MapMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; MapMat = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
93 | intercept_system_B(2 + C_.cols()) {
| ^
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:156:32: required from here
156 | return fitModelRcpp<MapMat>(Gmap, E, Y, C, weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
157 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; U = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
Solver.h:208:118: required from ‘void Solver<TG>::base_init() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
208 | normalize_weights_g[i] = 1.0 / std::sqrt(G.col(i).cwiseProduct(G.col(i)).dot(weights_user) - sqr(G.col(i).dot(weights_user)));
| ~~~~~~~~~~~~^~~~~~~~~~~~~~
Solver.h:154:5: required from ‘Solver<TG>::Solver(const MapMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; MapMat = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
154 | base_init();
| ^~~~~~~~~
GaussianSolver.h:93:39: required from ‘GaussianSolver<TG>::GaussianSolver(const MapMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; MapMat = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
93 | intercept_system_B(2 + C_.cols()) {
| ^
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:156:32: required from here
156 | return fitModelRcpp<MapMat>(Gmap, E, Y, C, weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
157 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix<double, -1, 1>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Matrix<double, -1, 1> >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:120:45: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
120 | intercept_system_A(0, 0) = weights.sum();
| ~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:491:33: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = assign_op<double, double>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Matrix<double, -1, 1>; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Matrix<double, -1, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Matrix<double, -1, 1>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:86:27: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
86 | beta_c.col(index) = solver->get_b_c();
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
38 | >::type Scalar;
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
131 | this->row(0) -= tau * tmp;
| ~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:530:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
132 | bottom.noalias() -= tau * essential * tmp;
| ~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:530:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
GaussianSolver.h:121:61: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
121 | intercept_system_A(0, 1) = normalize_weights_e * E.dot(weights);
| ~~~~~^~~~~~~~~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
GaussianSolver.h:123:82: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
123 | intercept_system_A(1, 1) = sqr(normalize_weights_e) * E.cwiseProduct(E).dot(weights);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
GaussianSolver.h:125:52: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
125 | intercept_system_A(0, i + 2) = C.col(i).dot(weights);
| ~~~~~~~~~~~~^~~~~~~~~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
93 | essential = tail / (c0 - beta);
| ~~~~~^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from ‘Derived& Eigen::DenseBase<Derived>::operator*=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
20 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:123:11: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
123 | *this *= Scalar(1)-tau;
| ~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:530:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double, 0, int>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> > >’
336 | typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 0, int> >’
1505 | struct evaluator<SparseMatrix<_Scalar,_Options,_StorageIndex> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:79:45: required from ‘void Eigen::internal::assign_sparse_to_sparse(DstXprType&, const SrcXprType&) [with DstXprType = Eigen::SparseMatrix<double, 0, int>; SrcXprType = Eigen::SparseView<Eigen::Matrix<double, -1, 1> >]’
79 | const bool transpose = (DstEvaluatorType::Flags & RowMajorBit) != (SrcEvaluatorType::Flags & RowMajorBit);
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:132:28: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Sparse2Sparse>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::SparseMatrix<double, 0, int>; SrcXprType = Eigen::SparseView<Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]’
132 | assign_sparse_to_sparse(dst.derived(), src.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:38:16: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:689:15: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::SparseView<Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Options = 0; _StorageIndex = int]’
689 | *this = other.derived();
| ~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:231:7: required from ‘void Eigen::Ref<const Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>, _Options, _StrideType>::construct(const Expression&, Eigen::internal::false_type) [with Expression = Eigen::SparseView<Eigen::Matrix<double, -1, 1> >; MatScalar = double; int MatOptions = 0; MatIndex = int; int Options = 0; StrideType = Eigen::OuterStride<>]’
231 | ::new (obj) TPlainObjectType(expr);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:190:16: required from ‘Eigen::Ref<const Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>, _Options, _StrideType>::Ref(const Eigen::SparseMatrixBase<OtherDerived>&) [with Derived = Eigen::SparseView<Eigen::Matrix<double, -1, 1> >; MatScalar = double; int MatOptions = 0; MatIndex = int; int Options = 0; StrideType = Eigen::OuterStride<>]’
190 | construct(expr.derived(), typename Traits::template match<Derived>::type());
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:128:88: required from ‘Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::BlockType& Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::SparseView<Eigen::Matrix<double, -1, 1> >; SparseMatrixType = Eigen::SparseMatrix<double, 0, int>; int BlockRows = -1; int BlockCols = 1; BlockType = Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true>]’
128 | Ref<const SparseMatrix<Scalar, IsRowMajor ? RowMajor : ColMajor, StorageIndex> > tmp(other.derived());
| ^~~
rcpp_wrappers_fit.cpp:88:25: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
88 | beta_g.col(index) = solver->get_b_g().sparseView();
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; U = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
Solver.h:210:66: required from ‘void Solver<TG>::base_init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
210 | normalize_weights_e = 1.0 / std::sqrt(E.cwiseProduct(E).dot(weights_user) - sqr(E.dot(weights_user)));
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
Solver.h:195:5: required from ‘Solver<TG>::Solver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
195 | base_init();
| ^~~~~~~~~
GaussianSolver.h:111:37: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
111 | intercept_system_B(2 + C_.cols()) {
| ^
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; U = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
Solver.h:210:92: required from ‘void Solver<TG>::base_init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
210 | normalize_weights_e = 1.0 / std::sqrt(E.cwiseProduct(E).dot(weights_user) - sqr(E.dot(weights_user)));
| ~~~~~^~~~~~~~~~~~~~
Solver.h:195:5: required from ‘Solver<TG>::Solver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
195 | base_init();
| ^~~~~~~~~
GaussianSolver.h:111:37: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
111 | intercept_system_B(2 + C_.cols()) {
| ^
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
Solver.h:218:30: required from ‘void Solver<TG>::base_init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
218 | norm2_G[i] = temp_n.dot(weights_user);
| ~~~~~~~~~~^~~~~~~~~~~~~~
Solver.h:195:5: required from ‘Solver<TG>::Solver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
195 | base_init();
| ^~~~~~~~~
GaussianSolver.h:111:37: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
111 | intercept_system_B(2 + C_.cols()) {
| ^
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
Solver.h:240:32: required from ‘void Solver<TG>::update_weighted_variables(bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
240 | norm2_G[i] = temp_n.dot(weights);
| ~~~~~~~~~~^~~~~~~~~
GaussianSolver.h:117:32: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
117 | update_weighted_variables(false);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::internal::IndexBased, double>’
564 | CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
79 | CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >]’
123 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Visitor.h:348:14: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
98 | return numext::real((*this).cwiseAbs2().sum());
| ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]’
142 | EIGEN_STATIC_ASSERT(internal::evaluator<Derived>::Flags & LinearAccessBit,
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:79:20: required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
79 | Scalar c0 = coeff(0);
| ~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
46 | makeHouseholder(essentialPart, tau, beta);
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:523:52: required from ‘void Eigen::FullPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
523 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:454:3: required from ‘Eigen::FullPivHouseholderQR<_MatrixType>& Eigen::FullPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
454 | computeInPlace();
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; U = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
Solver.h:208:85: required from ‘void Solver<TG>::base_init() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
208 | normalize_weights_g[i] = 1.0 / std::sqrt(G.col(i).cwiseProduct(G.col(i)).dot(weights_user) - sqr(G.col(i).dot(weights_user)));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
Solver.h:154:5: required from ‘Solver<TG>::Solver(const MapMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; MapMat = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
154 | base_init();
| ^~~~~~~~~
GaussianSolver.h:93:39: required from ‘GaussianSolver<TG>::GaussianSolver(const MapMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; MapMat = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
93 | intercept_system_B(2 + C_.cols()) {
| ^
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:156:32: required from here
156 | return fitModelRcpp<MapMat>(Gmap, E, Y, C, weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
157 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; U = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
Solver.h:208:118: required from ‘void Solver<TG>::base_init() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
208 | normalize_weights_g[i] = 1.0 / std::sqrt(G.col(i).cwiseProduct(G.col(i)).dot(weights_user) - sqr(G.col(i).dot(weights_user)));
| ~~~~~~~~~~~~^~~~~~~~~~~~~~
Solver.h:154:5: required from ‘Solver<TG>::Solver(const MapMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; MapMat = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
154 | base_init();
| ^~~~~~~~~
GaussianSolver.h:93:39: required from ‘GaussianSolver<TG>::GaussianSolver(const MapMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; MapMat = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
93 | intercept_system_B(2 + C_.cols()) {
| ^
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:156:32: required from here
156 | return fitModelRcpp<MapMat>(Gmap, E, Y, C, weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
157 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
370 | typedef typename nested_eval<Rhs,1>::type RhsNested;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
1043 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; Functor = swap_assign_op<double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; Func = swap_assign_op<double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; Functor = swap_assign_op<double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; Func = swap_assign_op<double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>]’
424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:514:36: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
564 | CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Func = generic_product_impl<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’
280 | func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
98 | return numext::real((*this).cwiseAbs2().sum());
| ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
78 | RealScalar tailSqNorm = size()==1 ? RealScalar(0) : tail.squaredNorm();
| ~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double]’
347 | return derived() = Constant(rows(), cols(), val);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >]’
548 | return setConstant(Scalar(0));
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = assign_op<double, double>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:333:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:306:38: required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’
306 | typedef typename Traits::LhsPacket LhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Dest = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >; typename Dest::Scalar = double]’
346 | general_matrix_vector_product
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
347 | <Index,LhsScalar,LhsMapper,RowMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
348 | actualLhs.rows(), actualLhs.cols(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | LhsMapper(actualLhs.data(), actualLhs.outerStride()),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | RhsMapper(actualRhsPtr, 1),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
351 | dest.data(), dest.col(0).innerStride(), //NOTE if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | actualAlpha);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Dest = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’
206 | gemv_dense_selector<OnTheRight,OtherStorageOrder,BlasCompatible>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Scalar = double]’
385 | internal::gemv_dense_selector<Side,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
386 | (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
387 | bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
388 | >::run(actual_lhs, actual_rhs, dst, alpha);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
52 | unpacket_traits<_RhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
59 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
60 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
61 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 1>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:310:42: required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’
310 | typedef typename HalfTraits::LhsPacket LhsPacketHalf;
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Dest = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >; typename Dest::Scalar = double]’
346 | general_matrix_vector_product
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
347 | <Index,LhsScalar,LhsMapper,RowMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
348 | actualLhs.rows(), actualLhs.cols(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | LhsMapper(actualLhs.data(), actualLhs.outerStride()),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | RhsMapper(actualRhsPtr, 1),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
351 | dest.data(), dest.col(0).innerStride(), //NOTE if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | actualAlpha);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Dest = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’
206 | gemv_dense_selector<OnTheRight,OtherStorageOrder,BlasCompatible>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Scalar = double]’
385 | internal::gemv_dense_selector<Side,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
386 | (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
387 | bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
388 | >::run(actual_lhs, actual_rhs, dst, alpha);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
52 | unpacket_traits<_RhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
59 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
60 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
61 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 2>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:314:45: required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’
314 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Dest = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >; typename Dest::Scalar = double]’
346 | general_matrix_vector_product
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
347 | <Index,LhsScalar,LhsMapper,RowMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
348 | actualLhs.rows(), actualLhs.cols(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | LhsMapper(actualLhs.data(), actualLhs.outerStride()),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | RhsMapper(actualRhsPtr, 1),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
351 | dest.data(), dest.col(0).innerStride(), //NOTE if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | actualAlpha);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Dest = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’
206 | gemv_dense_selector<OnTheRight,OtherStorageOrder,BlasCompatible>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Scalar = double]’
385 | internal::gemv_dense_selector<Side,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
386 | (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
387 | bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
388 | >::run(actual_lhs, actual_rhs, dst, alpha);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
52 | unpacket_traits<_RhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
59 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
60 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
61 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op<double, double>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>]’
164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:138:14: required from ‘Eigen::FullPivHouseholderQR<MatrixType>::FullPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
138 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:708:10: required from ‘const Eigen::FullPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
708 | return FullPivHouseholderQR<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:137:70: required from ‘void GaussianSolver<TG>::init() [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
137 | intercept_system_A_qr = intercept_system_A.fullPivHouseholderQr();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:112:7: required from ‘GaussianSolver<TG>::GaussianSolver(const MapSparseMat&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; MapSparseMat = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
112 | init();
| ^~~~
rcpp_wrappers_fit.cpp:30:7: required from ‘Rcpp::List fitModelRcpp(const TG&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Rcpp::LogicalVector&, const Eigen::VectorXd&, double, const std::string&, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Rcpp::List = Rcpp::Vector<19>; Rcpp::LogicalVector = Rcpp::Vector<10, Rcpp::PreserveStorage>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
30 | new GaussianSolver<TG>(G, E, Y, C, weights, normalize[0]));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_wrappers_fit.cpp:149:38: required from here
149 | return fitModelRcpp<MapSparseMat>(Rcpp::as<MapSparseMat>(G), E, Y, C,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
150 | weights, normalize, grid, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
151 | family, tolerance, max_iterations, min_working_set_size);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
In file included from rcpp_wrappers_fit.cpp:9:
BinomialSolver.h: In instantiation of ‘double BinomialSolver<TG>::get_test_loss(const std::vector<int>&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’:
BinomialSolver.h:420:20: required from here
420 | virtual double get_test_loss(const std::vector<int>& test_idx) {
| ^~~~~~~~~~~~~
BinomialSolver.h:423:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
423 | for (int i = 0; i < test_idx.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
In file included from rcpp_wrappers_fit.cpp:8:
GaussianSolver.h: In instantiation of ‘double GaussianSolver<TG>::get_test_loss(const std::vector<int>&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’:
GaussianSolver.h:346:20: required from here
346 | virtual double get_test_loss(const std::vector<int>& test_idx) {
| ^~~~~~~~~~~~~
GaussianSolver.h:349:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
349 | for (int i = 0; i < test_idx.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
BinomialSolver.h: In instantiation of ‘double BinomialSolver<TG>::get_test_loss(const std::vector<int>&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’:
BinomialSolver.h:420:20: required from here
420 | virtual double get_test_loss(const std::vector<int>& test_idx) {
| ^~~~~~~~~~~~~
BinomialSolver.h:423:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
423 | for (int i = 0; i < test_idx.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
GaussianSolver.h: In instantiation of ‘double GaussianSolver<TG>::get_test_loss(const std::vector<int>&) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’:
GaussianSolver.h:346:20: required from here
346 | virtual double get_test_loss(const std::vector<int>& test_idx) {
| ^~~~~~~~~~~~~
GaussianSolver.h:349:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
349 | for (int i = 0; i < test_idx.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:355:16: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
355 | nu = Y - mu;
| ~~^~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:360:29: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
360 | temp_n = mu.array() * (1 - mu.array());
| ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
BinomialSolver.h:361:25: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
BinomialSolver.h:361:47: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, 1>, -1, 1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>’
56 | template<typename VectorType, int Size> class VectorBlock
| ^~~~~~~~~~~
BinomialSolver.h:367:29: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
367 | b_c += b_diff.tail(C.cols());
| ~~~~~~~~~~~^~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
BinomialSolver.h:341:27: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
341 | primal_objective = (-Y.cwiseProduct(xbeta) + log_one_plus_exp(xbeta)).dot(weights_user) + lambda_1 * (b_g.cwiseAbs().cwiseMax(b_gxe.cwiseAbs())).sum() + lambda_2 * b_gxe.cwiseAbs().sum();
| ^~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:341:50: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
341 | primal_objective = (-Y.cwiseProduct(xbeta) + log_one_plus_exp(xbeta)).dot(weights_user) + lambda_1 * (b_g.cwiseAbs().cwiseMax(b_gxe.cwiseAbs())).sum() + lambda_2 * b_gxe.cwiseAbs().sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:341:132: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
341 | primal_objective = (-Y.cwiseProduct(xbeta) + log_one_plus_exp(xbeta)).dot(weights_user) + lambda_1 * (b_g.cwiseAbs().cwiseMax(b_gxe.cwiseAbs())).sum() + lambda_2 * b_gxe.cwiseAbs().sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:378:82: required from ‘void BinomialSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
378 | ArrayXd d_j = (lambda_1 - lambda_2 - (abs_nu_by_G).array() - (lambda_2 - r * norm_GxE.array()).max((abs_nu_by_GxE).array())) / (norm_GxE + norm_G).array();
| ~~^~~~~~~~~~~~~~~~~~
BinomialSolver.h:207:9: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
207 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:378:78: required from ‘void BinomialSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
378 | ArrayXd d_j = (lambda_1 - lambda_2 - (abs_nu_by_G).array() - (lambda_2 - r * norm_GxE.array()).max((abs_nu_by_GxE).array())) / (norm_GxE + norm_G).array();
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:207:9: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
207 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:378:105: required from ‘void BinomialSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
378 | ArrayXd d_j = (lambda_1 - lambda_2 - (abs_nu_by_G).array() - (lambda_2 - r * norm_GxE.array()).max((abs_nu_by_GxE).array())) / (norm_GxE + norm_G).array();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:207:9: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
207 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:378:66: required from ‘void BinomialSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
378 | ArrayXd d_j = (lambda_1 - lambda_2 - (abs_nu_by_G).array() - (lambda_2 - r * norm_GxE.array()).max((abs_nu_by_GxE).array())) / (norm_GxE + norm_G).array();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:207:9: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
207 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:378:144: required from ‘void BinomialSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
378 | ArrayXd d_j = (lambda_1 - lambda_2 - (abs_nu_by_G).array() - (lambda_2 - r * norm_GxE.array()).max((abs_nu_by_GxE).array())) / (norm_GxE + norm_G).array();
| ~~~~~~~~~~^~~~~~~~~
BinomialSolver.h:207:9: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
207 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
BinomialSolver.h:378:159: required from ‘void BinomialSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
378 | ArrayXd d_j = (lambda_1 - lambda_2 - (abs_nu_by_G).array() - (lambda_2 - r * norm_GxE.array()).max((abs_nu_by_GxE).array())) / (norm_GxE + norm_G).array();
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~
BinomialSolver.h:207:9: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
207 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:378:132: required from ‘void BinomialSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
378 | ArrayXd d_j = (lambda_1 - lambda_2 - (abs_nu_by_G).array() - (lambda_2 - r * norm_GxE.array()).max((abs_nu_by_GxE).array())) / (norm_GxE + norm_G).array();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:207:9: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
207 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:380:40: required from ‘void BinomialSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
380 | upperbound_nu_by_G = abs_nu_by_G + r * norm_G;
| ~~~~~~~~~~~~^~~~~~~~~~~~
BinomialSolver.h:207:9: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
207 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:390:65: required from ‘void BinomialSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
390 | xbeta -= normalize_weights_e * normalize_weights_g[i] * G.col(i).cwiseProduct(E) * b_gxe[i];
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:207:9: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
207 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:390:92: required from ‘void BinomialSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
390 | xbeta -= normalize_weights_e * normalize_weights_g[i] * G.col(i).cwiseProduct(E) * b_gxe[i];
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
BinomialSolver.h:207:9: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
207 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:395:43: required from ‘void BinomialSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
395 | xbeta -= normalize_weights_g[i] * G.col(i) * b_g[i];
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
BinomialSolver.h:207:9: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
207 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:395:54: required from ‘void BinomialSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
395 | xbeta -= normalize_weights_g[i] * G.col(i) * b_g[i];
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
BinomialSolver.h:207:9: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
207 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
BinomialSolver.h: In instantiation of ‘void BinomialSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’:
BinomialSolver.h:207:9: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
207 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
BinomialSolver.h:410:93: warning: comparison of integer expressions of different signedness: ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
410 | if (b_g[index] == 0 && b_gxe[index] == 0 && safe_set_g[index] && working_set.size() < working_set_size) {
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
BinomialSolver.h:251:83: required from ‘void BinomialSolver<TG>::update_quadratic_approximation() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
251 | weights.array() = temp_n.array() * (1 - temp_n.array()) * weights_user.array();
| ~~~~~~~~~~~~~~~~~~^~
BinomialSolver.h:224:13: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
224 | update_quadratic_approximation();
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:251:63: required from ‘void BinomialSolver<TG>::update_quadratic_approximation() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
251 | weights.array() = temp_n.array() * (1 - temp_n.array()) * weights_user.array();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:224:13: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
224 | update_quadratic_approximation();
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:257:68: required from ‘void BinomialSolver<TG>::update_quadratic_approximation() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
257 | Z_w = xbeta.cwiseProduct(weights) + (Y - temp_n).cwiseProduct(weights_user);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
BinomialSolver.h:224:13: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
224 | update_quadratic_approximation();
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:257:41: required from ‘void BinomialSolver<TG>::update_quadratic_approximation() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
257 | Z_w = xbeta.cwiseProduct(weights) + (Y - temp_n).cwiseProduct(weights_user);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:224:13: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
224 | update_quadratic_approximation();
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
Solver.h: In instantiation of ‘double Solver<TG>::update_b_for_working_set(double, double, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’:
BinomialSolver.h:232:48: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
232 | max_diff = update_b_for_working_set(lambda_1, lambda_2, false);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
Solver.h:278:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
278 | for (int k = 0; k < working_set.size(); ++k) {
| ~~^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > >’
140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
| ^~~~~~~~~~~~~
Solver.h:286:143: required from ‘double Solver<TG>::update_b_for_working_set(double, double, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
286 | xbeta -= normalize_weights_g[index] * G.col(index).cwiseProduct((b_g[index] + ((normalize_weights_e * b_gxe[index]) * E).array()).matrix());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
BinomialSolver.h:232:48: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
232 | max_diff = update_b_for_working_set(lambda_1, lambda_2, false);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:286:70: required from ‘double Solver<TG>::update_b_for_working_set(double, double, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
286 | xbeta -= normalize_weights_g[index] * G.col(index).cwiseProduct((b_g[index] + ((normalize_weights_e * b_gxe[index]) * E).array()).matrix());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:232:48: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
232 | max_diff = update_b_for_working_set(lambda_1, lambda_2, false);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:286:43: required from ‘double Solver<TG>::update_b_for_working_set(double, double, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
286 | xbeta -= normalize_weights_g[index] * G.col(index).cwiseProduct((b_g[index] + ((normalize_weights_e * b_gxe[index]) * E).array()).matrix());
BinomialSolver.h:232:48: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
232 | max_diff = update_b_for_working_set(lambda_1, lambda_2, false);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:288:93: required from ‘double Solver<TG>::update_b_for_working_set(double, double, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
288 | temp_n = normalize_weights_g[index] * (Z_w - xbeta.cwiseProduct(weights)).cwiseProduct(G.col(index));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
BinomialSolver.h:232:48: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
232 | max_diff = update_b_for_working_set(lambda_1, lambda_2, false);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:288:43: required from ‘double Solver<TG>::update_b_for_working_set(double, double, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
288 | temp_n = normalize_weights_g[index] * (Z_w - xbeta.cwiseProduct(weights)).cwiseProduct(G.col(index));
BinomialSolver.h:232:48: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
232 | max_diff = update_b_for_working_set(lambda_1, lambda_2, false);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:351:78: required from ‘double Solver<TG>::update_b_for_working_set(double, double, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
351 | xbeta += normalize_weights_g[index] * (b_g[index] * G.col(index) + normalize_weights_e * G.col(index).cwiseProduct(E) * b_gxe[index]);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:232:48: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
232 | max_diff = update_b_for_working_set(lambda_1, lambda_2, false);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:351:49: required from ‘double Solver<TG>::update_b_for_working_set(double, double, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
351 | xbeta += normalize_weights_g[index] * (b_g[index] * G.col(index) + normalize_weights_e * G.col(index).cwiseProduct(E) * b_gxe[index]);
BinomialSolver.h:232:48: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
232 | max_diff = update_b_for_working_set(lambda_1, lambda_2, false);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
Solver.h: In instantiation of ‘double Solver<TG>::update_b_for_working_set(double, double, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’:
BinomialSolver.h:232:48: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
232 | max_diff = update_b_for_working_set(lambda_1, lambda_2, false);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
Solver.h:271:12: warning: unused variable ‘b_0_old’ [-Wunused-variable]
271 | double b_0_old, b_e_old, b_g_old, b_gxe_old, b_g_new;
| ^~~~~~~
Solver.h:271:21: warning: unused variable ‘b_e_old’ [-Wunused-variable]
271 | double b_0_old, b_e_old, b_g_old, b_gxe_old, b_g_new;
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GaussianSolver.h:274:42: required from ‘void GaussianSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
274 | ArrayXd d_j = (lambda_1 - lambda_2 - (std::fabs(x_opt) * abs_res_by_G).array() - (lambda_2 - r * norm_GxE.array()).max((std::fabs(x_opt) * abs_res_by_GxE).array())) / (norm_GxE + norm_G).array();
| ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:163:9: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
163 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GaussianSolver.h:274:125: required from ‘void GaussianSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
274 | ArrayXd d_j = (lambda_1 - lambda_2 - (std::fabs(x_opt) * abs_res_by_G).array() - (lambda_2 - r * norm_GxE.array()).max((std::fabs(x_opt) * abs_res_by_GxE).array())) / (norm_GxE + norm_G).array();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:163:9: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
163 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GaussianSolver.h:274:86: required from ‘void GaussianSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
274 | ArrayXd d_j = (lambda_1 - lambda_2 - (std::fabs(x_opt) * abs_res_by_G).array() - (lambda_2 - r * norm_GxE.array()).max((std::fabs(x_opt) * abs_res_by_GxE).array())) / (norm_GxE + norm_G).array();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:163:9: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
163 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GaussianSolver.h:274:172: required from ‘void GaussianSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
274 | ArrayXd d_j = (lambda_1 - lambda_2 - (std::fabs(x_opt) * abs_res_by_G).array() - (lambda_2 - r * norm_GxE.array()).max((std::fabs(x_opt) * abs_res_by_GxE).array())) / (norm_GxE + norm_G).array();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:163:9: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
163 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GaussianSolver.h:276:60: required from ‘void GaussianSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
276 | upperbound_nu_by_G = std::fabs(x_opt) * abs_res_by_G + r * norm_G;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
GaussianSolver.h:163:9: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
163 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
GaussianSolver.h: In instantiation of ‘void GaussianSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’:
GaussianSolver.h:163:9: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
163 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
GaussianSolver.h:306:93: warning: comparison of integer expressions of different signedness: ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
306 | if (b_g[index] == 0 && b_gxe[index] == 0 && safe_set_g[index] && working_set.size() < working_set_size) {
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GaussianSolver.h:314:40: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
314 | xbeta -= normalize_weights_e * E * b_e;
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GaussianSolver.h:317:27: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
317 | xbeta -= C.col(i) * b_c[i];
| ~~~~~~~~~^~~~~~
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GaussianSolver.h:328:29: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
328 | xbeta = xbeta.array() + b_0;
| ~~~~~~~~~~~~~~^~~~~
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GaussianSolver.h:329:24: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
329 | xbeta += E * b_e * normalize_weights_e;
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, Eigen::Sparse>’
36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:390:88: required from ‘void BinomialSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
390 | xbeta -= normalize_weights_e * normalize_weights_g[i] * G.col(i).cwiseProduct(E) * b_gxe[i];
| ~~~~~~~~~~~~~~~~~~~~~^~~
BinomialSolver.h:207:9: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
207 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, Eigen::Sparse>’
36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:390:65: required from ‘void BinomialSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
390 | xbeta -= normalize_weights_e * normalize_weights_g[i] * G.col(i).cwiseProduct(E) * b_gxe[i];
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:207:9: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
207 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Sparse>’
36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:390:92: required from ‘void BinomialSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
390 | xbeta -= normalize_weights_e * normalize_weights_g[i] * G.col(i).cwiseProduct(E) * b_gxe[i];
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
BinomialSolver.h:207:9: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
207 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> > >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, Eigen::Sparse>’
36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:395:43: required from ‘void BinomialSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
395 | xbeta -= normalize_weights_g[i] * G.col(i) * b_g[i];
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
BinomialSolver.h:207:9: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
207 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Sparse>’
36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:395:54: required from ‘void BinomialSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
395 | xbeta -= normalize_weights_g[i] * G.col(i) * b_g[i];
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
BinomialSolver.h:207:9: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
207 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
BinomialSolver.h: In instantiation of ‘void BinomialSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’:
BinomialSolver.h:207:9: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
207 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
BinomialSolver.h:410:93: warning: comparison of integer expressions of different signedness: ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
410 | if (b_g[index] == 0 && b_gxe[index] == 0 && safe_set_g[index] && working_set.size() < working_set_size) {
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
Solver.h: In instantiation of ‘double Solver<TG>::update_b_for_working_set(double, double, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’:
BinomialSolver.h:232:48: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
232 | max_diff = update_b_for_working_set(lambda_1, lambda_2, false);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
Solver.h:278:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
278 | for (int k = 0; k < working_set.size(); ++k) {
| ~~^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > > > >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > >, Eigen::Sparse>’
36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:286:70: required from ‘double Solver<TG>::update_b_for_working_set(double, double, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
286 | xbeta -= normalize_weights_g[index] * G.col(index).cwiseProduct((b_g[index] + ((normalize_weights_e * b_gxe[index]) * E).array()).matrix());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:232:48: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
232 | max_diff = update_b_for_working_set(lambda_1, lambda_2, false);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > > > > >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > > >, Eigen::Sparse>’
36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:286:43: required from ‘double Solver<TG>::update_b_for_working_set(double, double, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
286 | xbeta -= normalize_weights_g[index] * G.col(index).cwiseProduct((b_g[index] + ((normalize_weights_e * b_gxe[index]) * E).array()).matrix());
BinomialSolver.h:232:48: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
232 | max_diff = update_b_for_working_set(lambda_1, lambda_2, false);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Sparse>’
36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:288:93: required from ‘double Solver<TG>::update_b_for_working_set(double, double, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
288 | temp_n = normalize_weights_g[index] * (Z_w - xbeta.cwiseProduct(weights)).cwiseProduct(G.col(index));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
BinomialSolver.h:232:48: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
232 | max_diff = update_b_for_working_set(lambda_1, lambda_2, false);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > > >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >, Eigen::Sparse>’
36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:288:43: required from ‘double Solver<TG>::update_b_for_working_set(double, double, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
288 | temp_n = normalize_weights_g[index] * (Z_w - xbeta.cwiseProduct(weights)).cwiseProduct(G.col(index));
BinomialSolver.h:232:48: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
232 | max_diff = update_b_for_working_set(lambda_1, lambda_2, false);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Sparse>’
36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:351:78: required from ‘double Solver<TG>::update_b_for_working_set(double, double, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
351 | xbeta += normalize_weights_g[index] * (b_g[index] * G.col(index) + normalize_weights_e * G.col(index).cwiseProduct(E) * b_gxe[index]);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:232:48: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
232 | max_diff = update_b_for_working_set(lambda_1, lambda_2, false);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > > >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, Eigen::Sparse>’
36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
Solver.h:351:49: required from ‘double Solver<TG>::update_b_for_working_set(double, double, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
351 | xbeta += normalize_weights_g[index] * (b_g[index] * G.col(index) + normalize_weights_e * G.col(index).cwiseProduct(E) * b_gxe[index]);
BinomialSolver.h:232:48: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
232 | max_diff = update_b_for_working_set(lambda_1, lambda_2, false);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
Solver.h: In instantiation of ‘double Solver<TG>::update_b_for_working_set(double, double, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’:
BinomialSolver.h:232:48: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
232 | max_diff = update_b_for_working_set(lambda_1, lambda_2, false);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
Solver.h:271:12: warning: unused variable ‘b_0_old’ [-Wunused-variable]
271 | double b_0_old, b_e_old, b_g_old, b_gxe_old, b_g_new;
| ^~~~~~~
Solver.h:271:21: warning: unused variable ‘b_e_old’ [-Wunused-variable]
271 | double b_0_old, b_e_old, b_g_old, b_gxe_old, b_g_new;
| ^~~~~~~
GaussianSolver.h: In instantiation of ‘void GaussianSolver<TG>::update_working_set(double, double, double, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’:
GaussianSolver.h:163:9: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
163 | update_working_set(lambda_1, lambda_2, duality_gap, working_set_size);
| ^~~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
GaussianSolver.h:306:93: warning: comparison of integer expressions of different signedness: ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
306 | if (b_g[index] == 0 && b_gxe[index] == 0 && safe_set_g[index] && working_set.size() < working_set_size) {
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
BinomialSolver.h:308:63: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
308 | abs_nu_by_G = (nu.cwiseProduct(weights_user).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
BinomialSolver.h:308:66: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
308 | abs_nu_by_G = (nu.cwiseProduct(weights_user).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
BinomialSolver.h:308:79: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
308 | abs_nu_by_G = (nu.cwiseProduct(weights_user).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
BinomialSolver.h:308:91: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
308 | abs_nu_by_G = (nu.cwiseProduct(weights_user).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:308:106: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
308 | abs_nu_by_G = (nu.cwiseProduct(weights_user).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:309:68: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
309 | abs_nu_by_GxE = (nu.cwiseProduct(weights_user).cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g) * normalize_weights_e;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
BinomialSolver.h:309:81: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
309 | abs_nu_by_GxE = (nu.cwiseProduct(weights_user).cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g) * normalize_weights_e;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
BinomialSolver.h:309:84: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
309 | abs_nu_by_GxE = (nu.cwiseProduct(weights_user).cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g) * normalize_weights_e;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
BinomialSolver.h:309:97: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
309 | abs_nu_by_GxE = (nu.cwiseProduct(weights_user).cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g) * normalize_weights_e;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
BinomialSolver.h:309:109: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
309 | abs_nu_by_GxE = (nu.cwiseProduct(weights_user).cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g) * normalize_weights_e;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:309:124: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
309 | abs_nu_by_GxE = (nu.cwiseProduct(weights_user).cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g) * normalize_weights_e;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:309:146: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
309 | abs_nu_by_GxE = (nu.cwiseProduct(weights_user).cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g) * normalize_weights_e;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
BinomialSolver.h: In instantiation of ‘void BinomialSolver<TG>::update_inner_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’:
BinomialSolver.h:346:7: required from ‘double BinomialSolver<TG>::check_inner_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
346 | update_inner_nu(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~
BinomialSolver.h:216:31: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
216 | inner_duality_gap = check_inner_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
BinomialSolver.h:329:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
329 | for (int i = 0; i < working_set.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:330:48: required from ‘void BinomialSolver<TG>::update_inner_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
330 | temp_n = inner_nu_weighted.cwiseProduct(G.col(working_set[i])) * normalize_weights_g[working_set[i]];
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:346:7: required from ‘double BinomialSolver<TG>::check_inner_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
346 | update_inner_nu(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~
BinomialSolver.h:216:31: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
216 | inner_duality_gap = check_inner_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:330:72: required from ‘void BinomialSolver<TG>::update_inner_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
330 | temp_n = inner_nu_weighted.cwiseProduct(G.col(working_set[i])) * normalize_weights_g[working_set[i]];
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:346:7: required from ‘double BinomialSolver<TG>::check_inner_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
346 | update_inner_nu(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~
BinomialSolver.h:216:31: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
216 | inner_duality_gap = check_inner_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GaussianSolver.h:250:40: required from ‘double GaussianSolver<TG>::update_inner_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
250 | temp_n = (Y - xbeta).cwiseProduct(weights); // weighted residual
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
GaussianSolver.h:263:34: required from ‘double GaussianSolver<TG>::check_duality_gap(double, double, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
263 | current_dual_objective = update_inner_nu(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~
GaussianSolver.h:159:23: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
159 | duality_gap = check_duality_gap(lambda_1, lambda_2, false);
| ^~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
GaussianSolver.h: In instantiation of ‘double GaussianSolver<TG>::update_inner_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’:
GaussianSolver.h:263:34: required from ‘double GaussianSolver<TG>::check_duality_gap(double, double, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
263 | current_dual_objective = update_inner_nu(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~
GaussianSolver.h:159:23: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
159 | duality_gap = check_duality_gap(lambda_1, lambda_2, false);
| ^~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
GaussianSolver.h:251:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
251 | for (int i = 0; i < working_set.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, 1> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
GaussianSolver.h:232:41: required from ‘double GaussianSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
232 | abs_res_by_G = (temp_n.transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~~~~^~
GaussianSolver.h:265:34: required from ‘double GaussianSolver<TG>::check_duality_gap(double, double, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
265 | current_dual_objective = update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
GaussianSolver.h:159:23: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
159 | duality_gap = check_duality_gap(lambda_1, lambda_2, false);
| ^~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
GaussianSolver.h:232:44: required from ‘double GaussianSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
232 | abs_res_by_G = (temp_n.transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~~~~~~~~^~~~
GaussianSolver.h:265:34: required from ‘double GaussianSolver<TG>::check_duality_gap(double, double, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
265 | current_dual_objective = update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
GaussianSolver.h:159:23: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
159 | duality_gap = check_duality_gap(lambda_1, lambda_2, false);
| ^~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
GaussianSolver.h:232:57: required from ‘double GaussianSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
232 | abs_res_by_G = (temp_n.transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:265:34: required from ‘double GaussianSolver<TG>::check_duality_gap(double, double, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
265 | current_dual_objective = update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
GaussianSolver.h:159:23: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
159 | duality_gap = check_duality_gap(lambda_1, lambda_2, false);
| ^~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
GaussianSolver.h:232:69: required from ‘double GaussianSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
232 | abs_res_by_G = (temp_n.transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:265:34: required from ‘double GaussianSolver<TG>::check_duality_gap(double, double, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
265 | current_dual_objective = update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
GaussianSolver.h:159:23: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
159 | duality_gap = check_duality_gap(lambda_1, lambda_2, false);
| ^~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GaussianSolver.h:232:84: required from ‘double GaussianSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
232 | abs_res_by_G = (temp_n.transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:265:34: required from ‘double GaussianSolver<TG>::check_duality_gap(double, double, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
265 | current_dual_objective = update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
GaussianSolver.h:159:23: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
159 | duality_gap = check_duality_gap(lambda_1, lambda_2, false);
| ^~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GaussianSolver.h:233:124: required from ‘double GaussianSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
233 | abs_res_by_GxE = (temp_n.cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g) * normalize_weights_e;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:265:34: required from ‘double GaussianSolver<TG>::check_duality_gap(double, double, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
265 | current_dual_objective = update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
GaussianSolver.h:159:23: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
159 | duality_gap = check_duality_gap(lambda_1, lambda_2, false);
| ^~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
BinomialSolver.h:308:66: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
308 | abs_nu_by_G = (nu.cwiseProduct(weights_user).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
BinomialSolver.h:308:79: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
308 | abs_nu_by_G = (nu.cwiseProduct(weights_user).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
BinomialSolver.h:308:91: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
308 | abs_nu_by_G = (nu.cwiseProduct(weights_user).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:308:106: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
308 | abs_nu_by_G = (nu.cwiseProduct(weights_user).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
BinomialSolver.h:309:84: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
309 | abs_nu_by_GxE = (nu.cwiseProduct(weights_user).cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g) * normalize_weights_e;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
BinomialSolver.h:309:97: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
309 | abs_nu_by_GxE = (nu.cwiseProduct(weights_user).cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g) * normalize_weights_e;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
BinomialSolver.h:309:109: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
309 | abs_nu_by_GxE = (nu.cwiseProduct(weights_user).cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g) * normalize_weights_e;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:309:124: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
309 | abs_nu_by_GxE = (nu.cwiseProduct(weights_user).cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g) * normalize_weights_e;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:309:146: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
309 | abs_nu_by_GxE = (nu.cwiseProduct(weights_user).cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g) * normalize_weights_e;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
BinomialSolver.h: In instantiation of ‘void BinomialSolver<TG>::update_inner_nu(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’:
BinomialSolver.h:346:7: required from ‘double BinomialSolver<TG>::check_inner_duality_gap(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
346 | update_inner_nu(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~
BinomialSolver.h:216:31: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
216 | inner_duality_gap = check_inner_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
BinomialSolver.h:329:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
329 | for (int i = 0; i < working_set.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Sparse>’
36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:330:48: required from ‘void BinomialSolver<TG>::update_inner_nu(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
330 | temp_n = inner_nu_weighted.cwiseProduct(G.col(working_set[i])) * normalize_weights_g[working_set[i]];
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:346:7: required from ‘double BinomialSolver<TG>::check_inner_duality_gap(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
346 | update_inner_nu(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~
BinomialSolver.h:216:31: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
216 | inner_duality_gap = check_inner_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Sparse>’
36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
BinomialSolver.h:330:72: required from ‘void BinomialSolver<TG>::update_inner_nu(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
330 | temp_n = inner_nu_weighted.cwiseProduct(G.col(working_set[i])) * normalize_weights_g[working_set[i]];
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:346:7: required from ‘double BinomialSolver<TG>::check_inner_duality_gap(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
346 | update_inner_nu(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~
BinomialSolver.h:216:31: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
216 | inner_duality_gap = check_inner_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
GaussianSolver.h: In instantiation of ‘double GaussianSolver<TG>::update_inner_nu(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’:
GaussianSolver.h:263:34: required from ‘double GaussianSolver<TG>::check_duality_gap(double, double, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
263 | current_dual_objective = update_inner_nu(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~
GaussianSolver.h:159:23: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
159 | duality_gap = check_duality_gap(lambda_1, lambda_2, false);
| ^~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
GaussianSolver.h:251:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
251 | for (int i = 0; i < working_set.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
GaussianSolver.h:232:44: required from ‘double GaussianSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
232 | abs_res_by_G = (temp_n.transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~~~~~~~~^~~~
GaussianSolver.h:265:34: required from ‘double GaussianSolver<TG>::check_duality_gap(double, double, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
265 | current_dual_objective = update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
GaussianSolver.h:159:23: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
159 | duality_gap = check_duality_gap(lambda_1, lambda_2, false);
| ^~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
GaussianSolver.h:232:57: required from ‘double GaussianSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
232 | abs_res_by_G = (temp_n.transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:265:34: required from ‘double GaussianSolver<TG>::check_duality_gap(double, double, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
265 | current_dual_objective = update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
GaussianSolver.h:159:23: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
159 | duality_gap = check_duality_gap(lambda_1, lambda_2, false);
| ^~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
GaussianSolver.h:232:69: required from ‘double GaussianSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
232 | abs_res_by_G = (temp_n.transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
GaussianSolver.h:265:34: required from ‘double GaussianSolver<TG>::check_duality_gap(double, double, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
265 | current_dual_objective = update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
GaussianSolver.h:159:23: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
159 | duality_gap = check_duality_gap(lambda_1, lambda_2, false);
| ^~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GaussianSolver.h:232:84: required from ‘double GaussianSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
232 | abs_res_by_G = (temp_n.transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:265:34: required from ‘double GaussianSolver<TG>::check_duality_gap(double, double, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
265 | current_dual_objective = update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
GaussianSolver.h:159:23: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
159 | duality_gap = check_duality_gap(lambda_1, lambda_2, false);
| ^~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GaussianSolver.h:233:124: required from ‘double GaussianSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
233 | abs_res_by_GxE = (temp_n.cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g) * normalize_weights_e;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:265:34: required from ‘double GaussianSolver<TG>::check_duality_gap(double, double, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
265 | current_dual_objective = update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
GaussianSolver.h:159:23: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
159 | duality_gap = check_duality_gap(lambda_1, lambda_2, false);
| ^~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; U = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
BinomialSolver.h:341:80: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
341 | primal_objective = (-Y.cwiseProduct(xbeta) + log_one_plus_exp(xbeta)).dot(weights_user) + lambda_1 * (b_g.cwiseAbs().cwiseMax(b_gxe.cwiseAbs())).sum() + lambda_2 * b_gxe.cwiseAbs().sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
GaussianSolver.h:253:69: required from ‘double GaussianSolver<TG>::update_inner_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
253 | abs_inner_res_by_GxE[i] = std::abs(G.col(working_set[i]).dot(temp_n.cwiseProduct(E))) * normalize_weights_g[working_set[i]] * normalize_weights_e;
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:263:34: required from ‘double GaussianSolver<TG>::check_duality_gap(double, double, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
263 | current_dual_objective = update_inner_nu(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~
GaussianSolver.h:159:23: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
159 | duality_gap = check_duality_gap(lambda_1, lambda_2, false);
| ^~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:164:19: required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator[](Eigen::Index) const [with Derived = Eigen::Ref<Eigen::Matrix<double, -1, 1> >; CoeffReturnType = const double&; Eigen::Index = long int]’
164 | return coeff(index);
| ~~~~~^~~~~~~
BinomialSolver.h:279:30: required from ‘double BinomialSolver<TG>::naive_projection(double, double, const Eigen::Ref<Eigen::Matrix<double, -1, 1> >&, const Eigen::Ref<Eigen::Matrix<double, -1, 1> >&, const VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
279 | if (abs_nu_by_GxE[i] * lambda_1 - abs_nu_by_G[i] * lambda_2 <= 0) {
BinomialSolver.h:312:15: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
312 | x_opt = naive_projection(lambda_1, lambda_2, abs_nu_by_G, abs_nu_by_GxE, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:341:155: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
341 | primal_objective = (-Y.cwiseProduct(xbeta) + log_one_plus_exp(xbeta)).dot(weights_user) + lambda_1 * (b_g.cwiseAbs().cwiseMax(b_gxe.cwiseAbs())).sum() + lambda_2 * b_gxe.cwiseAbs().sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:341:191: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
341 | primal_objective = (-Y.cwiseProduct(xbeta) + log_one_plus_exp(xbeta)).dot(weights_user) + lambda_1 * (b_g.cwiseAbs().cwiseMax(b_gxe.cwiseAbs())).sum() + lambda_2 * b_gxe.cwiseAbs().sum();
| ~~~~~~~~~~~~~~~~~~~~^~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Functor = add_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Func = add_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::Matrix<double, -1, 1>]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:367:15: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
367 | b_c += b_diff.tail(C.cols());
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; U = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
BinomialSolver.h:341:80: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
341 | primal_objective = (-Y.cwiseProduct(xbeta) + log_one_plus_exp(xbeta)).dot(weights_user) + lambda_1 * (b_g.cwiseAbs().cwiseMax(b_gxe.cwiseAbs())).sum() + lambda_2 * b_gxe.cwiseAbs().sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 1>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, 1, 1, 0, 1, 1>’
178 | class Matrix
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:558:65: required from ‘void Eigen::FullPivHouseholderQR<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix<double, -1, 1>; DstType = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
558 | Matrix<typename RhsType::Scalar,1,RhsType::ColsAtCompileTime> temp(rhs.cols());
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
GaussianSolver.h:253:69: required from ‘double GaussianSolver<TG>::update_inner_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
253 | abs_inner_res_by_GxE[i] = std::abs(G.col(working_set[i]).dot(temp_n.cwiseProduct(E))) * normalize_weights_g[working_set[i]] * normalize_weights_e;
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:263:34: required from ‘double GaussianSolver<TG>::check_duality_gap(double, double, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
263 | current_dual_objective = update_inner_nu(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~
GaussianSolver.h:159:23: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
159 | duality_gap = check_duality_gap(lambda_1, lambda_2, false);
| ^~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, -1, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, -1, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 0, -1, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 0, -1, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 0, -1, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1, 1, 1, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1, 1, 1, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1, 1, 1, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0, 3>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > > >’
38 | >::type Scalar;
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
131 | this->row(0) -= tau * tmp;
| ~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:564:33: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
132 | bottom.noalias() -= tau * essential * tmp;
| ~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:564:33: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0, 4>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from ‘Derived& Eigen::DenseBase<Derived>::operator*=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
20 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:123:11: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
123 | *this *= Scalar(1)-tau;
| ~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:564:33: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Scalar = double]’
347 | return derived() = Constant(rows(), cols(), val);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>]’
548 | return setConstant(Scalar(0));
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:573:96: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:363:15: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
363 | xbeta += X_1_E_C * b_diff;
| ~~~~~~^~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:363:15: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
363 | xbeta += X_1_E_C * b_diff;
| ~~~~~~^~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:97:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:125:66: required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’
125 | Map<Matrix<RhsScalar,Dynamic,1> >(rhs+s,r) -= rhs[i] * cjLhs.col(i).segment(s,r);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’
370 | typedef typename nested_eval<Rhs,1>::type RhsNested;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
478 | return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>’
369 | typedef typename nested_eval<Lhs,1>::type LhsNested;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
485 | return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:363:15: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
363 | xbeta += X_1_E_C * b_diff;
| ~~~~~~^~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
296 | dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size());
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:363:15: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
363 | xbeta += X_1_E_C * b_diff;
| ~~~~~~^~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Functor = swap_assign_op<double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Func = swap_assign_op<double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>]’
424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h:562:18: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1, 3>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 4>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:363:15: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
363 | xbeta += X_1_E_C * b_diff;
| ~~~~~~^~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:363:15: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
363 | xbeta += X_1_E_C * b_diff;
| ~~~~~~^~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >; Functor = mul_assign_op<double, double>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >; Functor = Eigen::internal::mul_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >; Func = mul_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >; Func = mul_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:28: required from ‘Derived& Eigen::DenseBase<Derived>::operator*=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
20 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:123:11: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, -1, 1, true, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, -1, 1, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, -1, 1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:52: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:43: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]’
366 | dest += (alpha*actual_rhs.coeff(k)) * lhs.col(k);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’
207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
| ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:330:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:147:40: required from ‘void Eigen::internal::evaluateProductBlockingSizesHeuristic(Index&, Index&, Index&, Index) [with LhsScalar = double; RhsScalar = double; int KcFactor = 1; Index = long int]’
147 | typedef typename Traits::ResScalar ResScalar;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:342:81: required from ‘void Eigen::internal::computeProductBlockingSizes(Index&, Index&, Index&, Index) [with LhsScalar = double; RhsScalar = double; int KcFactor = 1; Index = long int]’
342 | evaluateProductBlockingSizesHeuristic<LhsScalar, RhsScalar, KcFactor, Index>(k, m, n, num_threads);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:355:66: required from ‘Eigen::internal::gemm_blocking_space<StorageOrder, _LhsScalar, _RhsScalar, MaxRows, MaxCols, MaxDepth, KcFactor, false>::gemm_blocking_space(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, bool) [with int StorageOrder = 0; _LhsScalar = double; _RhsScalar = double; int MaxRows = -1; int MaxCols = -1; int MaxDepth = -1; int KcFactor = 1; Eigen::Index = long int]’
355 | computeProductBlockingSizes<LhsScalar,RhsScalar,KcFactor>(this->m_kc, this->m_mc, this->m_nc, num_threads);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:507:18: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
507 | BlockingType blocking(dst.rows(), dst.cols(), lhs.cols(), 1, true);
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
460 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
461 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
462 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
465 | typedef QuadPacket<RhsPacket> RhsPacketx4;
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 1>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel<double, double, long int, Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>, 4, 4, false, false>’
1080 | typedef typename HalfTraits::LhsPacket LhsPacketHalf;
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’
82 | gebp_kernel<LhsScalar, RhsScalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, double, 0, false, double, 0, false, 0, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’
230 | Gemm::run(rows, cols, m_lhs.cols(),
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
234 | m_actualAlpha, m_blocking, info);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<double, long int, general_matrix_matrix_product<long int, double, 0, false, double, 0, false, 0, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’
114 | func(0,rows, 0,cols);
| ~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
460 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
461 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
462 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
465 | typedef QuadPacket<RhsPacket> RhsPacketx4;
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 2>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel<double, double, long int, Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>, 4, 4, false, false>’
1085 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’
82 | gebp_kernel<LhsScalar, RhsScalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, double, 0, false, double, 0, false, 0, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’
230 | Gemm::run(rows, cols, m_lhs.cols(),
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
234 | m_actualAlpha, m_blocking, info);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<double, long int, general_matrix_matrix_product<long int, double, 0, false, double, 0, false, 0, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’
114 | func(0,rows, 0,cols);
| ~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
460 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
461 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
462 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
465 | typedef QuadPacket<RhsPacket> RhsPacketx4;
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:363:15: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
363 | xbeta += X_1_E_C * b_diff;
| ~~~~~~^~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:363:15: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
363 | xbeta += X_1_E_C * b_diff;
| ~~~~~~^~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76: required from ‘struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’
526 | typedef typename internal::nested_eval<Lhs,Rhs::ColsAtCompileTime>::type LhsNested;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:527:76: required from ‘struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’
527 | typedef typename internal::nested_eval<Rhs,Lhs::RowsAtCompileTime>::type RhsNested;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1> >’
29 | struct evaluator<Product<Lhs, Rhs, Options> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>; Functor = assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:184:17: required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’
184 | pack_lhs(blockA, lhs.getSubMapper(i2,k2), actual_kc, actual_mc);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, double, 0, false, double, 0, false, 0, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’
230 | Gemm::run(rows, cols, m_lhs.cols(),
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
234 | m_actualAlpha, m_blocking, info);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<double, long int, general_matrix_matrix_product<long int, double, 0, false, double, 0, false, 0, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’
114 | func(0,rows, 0,cols);
| ~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2100 | typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2102 | HalfPacketSize = unpacket_traits<HalfPacket>::size,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2103 | QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:195:21: required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’
195 | pack_rhs(blockB, rhs.getSubMapper(k2,j2), actual_kc, actual_nc);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, double, 0, false, double, 0, false, 0, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’
230 | Gemm::run(rows, cols, m_lhs.cols(),
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
234 | m_actualAlpha, m_blocking, info);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<double, long int, general_matrix_matrix_product<long int, double, 0, false, double, 0, false, 0, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’
114 | func(0,rows, 0,cols);
| ~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
2459 | PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:198:15: required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’
198 | gebp(res.getSubMapper(i2, j2), blockA, blockB, actual_mc, actual_kc, actual_nc, alpha);
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, double, 0, false, double, 0, false, 0, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’
230 | Gemm::run(rows, cols, m_lhs.cols(),
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
234 | m_actualAlpha, m_blocking, info);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<double, long int, general_matrix_matrix_product<long int, double, 0, false, double, 0, false, 0, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’
114 | func(0,rows, 0,cols);
| ~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
1920 | const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
1921 | const int SResPacketQuarterSize = unpacket_traits<typename unpacket_traits<typename unpacket_traits<SResPacket>::half>::half>::size;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
1977 | typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
1978 | typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
1979 | typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SRhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
1980 | typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
1043 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long int]’
606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, -1, 1, true> >; Functor = add_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, -1, 1, true> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:361:11: required from ‘int BinomialSolver<TG>::update_intercept(int, int, VecXd&) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; VecXd = Eigen::Matrix<double, -1, 1>]’
361 | H = X_1_E_C_w_t * temp_n.asDiagonal() * X_1_E_C;
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:200:24: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
200 | num_passes = update_intercept(num_passes, max_iterations, nu);
| ^~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’
606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, 1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’
606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’
606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long int]’
654 | m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
| ~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GaussianSolver.h:324:13: required from ‘double GaussianSolver<TG>::update_intercept() [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
324 | VecXd x = intercept_system_A_qr.solve(intercept_system_B);
| ^
GaussianSolver.h:177:24: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
177 | max_diff = update_intercept();
| ^~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:308:21: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
308 | abs_nu_by_G = (nu.cwiseProduct(weights_user).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:308:21: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
308 | abs_nu_by_G = (nu.cwiseProduct(weights_user).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GaussianSolver.h:232:22: required from ‘double GaussianSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
232 | abs_res_by_G = (temp_n.transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:265:34: required from ‘double GaussianSolver<TG>::check_duality_gap(double, double, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
265 | current_dual_objective = update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
GaussianSolver.h:159:23: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
159 | duality_gap = check_duality_gap(lambda_1, lambda_2, false);
| ^~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, 1, -1>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:308:21: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
308 | abs_nu_by_G = (nu.cwiseProduct(weights_user).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Transpose<const Eigen::Map<Eigen::SparseMatrix<double, 0, int> > > >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase<Eigen::Transpose<const Eigen::Map<Eigen::SparseMatrix<double, 0, int> > > >’
36 | class SparseCompressedBase
| ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl<const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 1024>’
22 | class SparseTransposeImpl<MatrixType,CompressedAccessBit>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl<const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Sparse>’
45 | template<typename MatrixType> class TransposeImpl<MatrixType,Sparse>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Map<Eigen::SparseMatrix<double, 0, int> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:216:60: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::SparseShape, ProductType>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, 1, -1>; Lhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >; Rhs = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; int ProductType = 7; Scalar = double]’
216 | internal::sparse_time_dense_product(rhsNested.transpose(), lhsNested.transpose(), dstT, alpha);
| ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:308:21: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
308 | abs_nu_by_G = (nu.cwiseProduct(weights_user).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:216:83: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GaussianSolver.h:232:22: required from ‘double GaussianSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
232 | abs_res_by_G = (temp_n.transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:265:34: required from ‘double GaussianSolver<TG>::check_duality_gap(double, double, bool) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
265 | current_dual_objective = update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
GaussianSolver.h:159:23: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >]’
159 | duality_gap = check_duality_gap(lambda_1, lambda_2, false);
| ^~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:308:21: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
308 | abs_nu_by_G = (nu.cwiseProduct(weights_user).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Dest = Eigen::Matrix<double, 1, -1>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’
207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
| ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:308:21: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
308 | abs_nu_by_G = (nu.cwiseProduct(weights_user).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:308:21: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
308 | abs_nu_by_G = (nu.cwiseProduct(weights_user).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:308:21: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
308 | abs_nu_by_G = (nu.cwiseProduct(weights_user).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:308:21: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
308 | abs_nu_by_G = (nu.cwiseProduct(weights_user).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GaussianSolver.h:232:22: required from ‘double GaussianSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
232 | abs_res_by_G = (temp_n.transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:265:34: required from ‘double GaussianSolver<TG>::check_duality_gap(double, double, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
265 | current_dual_objective = update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
GaussianSolver.h:159:23: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
159 | duality_gap = check_duality_gap(lambda_1, lambda_2, false);
| ^~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GaussianSolver.h:232:22: required from ‘double GaussianSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
232 | abs_res_by_G = (temp_n.transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:265:34: required from ‘double GaussianSolver<TG>::check_duality_gap(double, double, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
265 | current_dual_objective = update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
GaussianSolver.h:159:23: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
159 | duality_gap = check_duality_gap(lambda_1, lambda_2, false);
| ^~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GaussianSolver.h:232:22: required from ‘double GaussianSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
232 | abs_res_by_G = (temp_n.transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:265:34: required from ‘double GaussianSolver<TG>::check_duality_gap(double, double, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
265 | current_dual_objective = update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
GaussianSolver.h:159:23: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
159 | duality_gap = check_duality_gap(lambda_1, lambda_2, false);
| ^~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GaussianSolver.h:232:22: required from ‘double GaussianSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
232 | abs_res_by_G = (temp_n.transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:265:34: required from ‘double GaussianSolver<TG>::check_duality_gap(double, double, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
265 | current_dual_objective = update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
GaussianSolver.h:159:23: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
159 | duality_gap = check_duality_gap(lambda_1, lambda_2, false);
| ^~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:308:21: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
308 | abs_nu_by_G = (nu.cwiseProduct(weights_user).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:308:21: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
308 | abs_nu_by_G = (nu.cwiseProduct(weights_user).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:309:23: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
309 | abs_nu_by_GxE = (nu.cwiseProduct(weights_user).cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g) * normalize_weights_e;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GaussianSolver.h:232:22: required from ‘double GaussianSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
232 | abs_res_by_G = (temp_n.transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:265:34: required from ‘double GaussianSolver<TG>::check_duality_gap(double, double, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
265 | current_dual_objective = update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
GaussianSolver.h:159:23: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
159 | duality_gap = check_duality_gap(lambda_1, lambda_2, false);
| ^~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Dest = Eigen::Matrix<double, 1, -1>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’
207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
| ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:309:23: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
309 | abs_nu_by_GxE = (nu.cwiseProduct(weights_user).cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g) * normalize_weights_e;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:308:21: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
308 | abs_nu_by_G = (nu.cwiseProduct(weights_user).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:309:23: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
309 | abs_nu_by_GxE = (nu.cwiseProduct(weights_user).cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g) * normalize_weights_e;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:309:23: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
309 | abs_nu_by_GxE = (nu.cwiseProduct(weights_user).cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g) * normalize_weights_e;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GaussianSolver.h:232:22: required from ‘double GaussianSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
232 | abs_res_by_G = (temp_n.transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g);
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GaussianSolver.h:265:34: required from ‘double GaussianSolver<TG>::check_duality_gap(double, double, bool) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
265 | current_dual_objective = update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
GaussianSolver.h:159:23: required from ‘int GaussianSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
159 | duality_gap = check_duality_gap(lambda_1, lambda_2, false);
| ^~~~~~~~~~~~~~~~~
GaussianSolver.h:142:17: required from here
142 | virtual int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:309:23: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
309 | abs_nu_by_GxE = (nu.cwiseProduct(weights_user).cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g) * normalize_weights_e;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
BinomialSolver.h:309:23: required from ‘void BinomialSolver<TG>::update_nu(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
309 | abs_nu_by_GxE = (nu.cwiseProduct(weights_user).cwiseProduct(E).transpose() * G).cwiseAbs().transpose().cwiseProduct(normalize_weights_g) * normalize_weights_e;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
BinomialSolver.h:339:7: required from ‘double BinomialSolver<TG>::check_duality_gap(double, double) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
339 | update_nu(lambda_1, lambda_2);
| ^~~~~~~~~
BinomialSolver.h:202:23: required from ‘int BinomialSolver<TG>::solve(double, double, double, int, int) [with TG = Eigen::Map<const Eigen::Matrix<double, -1, -1> >]’
202 | duality_gap = check_duality_gap(lambda_1, lambda_2);
| ^~~~~~~~~~~~~~~~~
BinomialSolver.h:182:9: required from here
182 | int solve(double lambda_1, double lambda_2, double tolerance, int max_iterations, int min_working_set_size) {
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
g++-14 -std=gnu++11 -shared -L/home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib -Wl,-O1 -o gesso.so RcppExports.o rcpp_compute_grid.o rcpp_wrappers_cv.o rcpp_wrappers_fit.o -llapack -L/home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib -lRblas -lgfortran -lm -lquadmath -L/home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib -lR
make[1]: Leaving directory '/tmp/Rtmp2duris/R.INSTALL1214b5c95c491/gesso/src'
make[1]: Entering directory '/tmp/Rtmp2duris/R.INSTALL1214b5c95c491/gesso/src'
make[1]: Leaving directory '/tmp/Rtmp2duris/R.INSTALL1214b5c95c491/gesso/src'
installing to /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/00LOCK-gesso/00new/gesso/libs
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
*** copying figures
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** checking absolute paths in shared objects and dynamic libraries
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (gesso)