* installing *source* package 'forecastSNSTS' ...
** package 'forecastSNSTS' successfully unpacked and MD5 sums checked
** using staged installation
** libs
using C++ compiler: 'g++.exe (GCC) 12.3.0'
make[1]: Entering directory '/d/temp/2024_12_20_01_50_00_19051/RtmpWotZmY/R.INSTALL31cc876ba437c/forecastSNSTS/src'
g++ -std=gnu++17  -I"D:/RCompile/recent/R-4.3.3/include" -DNDEBUG  -I'D:/RCompile/CRANpkg/lib/4.3/Rcpp/include'   -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c RcppExports.cpp -o RcppExports.o
g++ -std=gnu++17  -I"D:/RCompile/recent/R-4.3.3/include" -DNDEBUG  -I'D:/RCompile/CRANpkg/lib/4.3/Rcpp/include'   -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c computeMSPE.cpp -o computeMSPE.o
g++ -std=gnu++17  -I"D:/RCompile/recent/R-4.3.3/include" -DNDEBUG  -I'D:/RCompile/CRANpkg/lib/4.3/Rcpp/include'   -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c predCoef.cpp -o predCoef.o
g++ -std=gnu++17  -I"D:/RCompile/recent/R-4.3.3/include" -DNDEBUG  -I'D:/RCompile/CRANpkg/lib/4.3/Rcpp/include'   -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c tvARMA.cpp -o tvARMA.o
g++ -std=gnu++17 -shared -s -static-libgcc -o forecastSNSTS.dll tmp.def RcppExports.o computeMSPE.o predCoef.o tvARMA.o -Ld:/rtools43/x86_64-w64-mingw32.static.posix/lib/x64 -Ld:/rtools43/x86_64-w64-mingw32.static.posix/lib -LD:/RCompile/recent/R-4.3.3/bin/x64 -lR
make[1]: Leaving directory '/d/temp/2024_12_20_01_50_00_19051/RtmpWotZmY/R.INSTALL31cc876ba437c/forecastSNSTS/src'
make[1]: Entering directory '/d/temp/2024_12_20_01_50_00_19051/RtmpWotZmY/R.INSTALL31cc876ba437c/forecastSNSTS/src'
make[1]: Leaving directory '/d/temp/2024_12_20_01_50_00_19051/RtmpWotZmY/R.INSTALL31cc876ba437c/forecastSNSTS/src'
installing to d:/Rcompile/CRANpkg/lib/4.3/00LOCK-forecastSNSTS/00new/forecastSNSTS/libs/x64
** R
** demo
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** testing if installed package can be loaded from temporary location
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* MD5 sums
packaged installation of 'forecastSNSTS' as forecastSNSTS_1.3-0.zip
* DONE (forecastSNSTS)