* using log directory ‘/home/hornik/tmp/R.check/r-devel-gcc/Work/PKGS/lcpm.Rcheck’
* using R Under development (unstable) (2025-02-25 r87824)
* using platform: x86_64-pc-linux-gnu
* R was compiled by
    gcc-14 (Debian 14.2.0-16) 14.2.0
    GNU Fortran (Debian 14.2.0-16) 14.2.0
* running under: Debian GNU/Linux trixie/sid
* using session charset: UTF-8
* checking for file ‘lcpm/DESCRIPTION’ ... OK
* checking extension type ... Package
* this is package ‘lcpm’ version ‘0.1.1’
* package encoding: UTF-8
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See 'https://www.r-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-gcc/lcpm-00install.html' for details.
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* checking Rd files ... [0s/0s] NOTE
checkRd: (-1) lcpm.Rd:52: Lost braces; missing escapes or markup?
    52 | \code{lcpm} provides the maximum likelihood estimate for ordinal outcomes (J>2 categories) and a Generalized Linear Model (GLM) with the log link without the assumption of proportionality. That is, lcpm determines the MLE for log[P(y <= j)]= cut_j + X beta_j subject to [cut_{j-1} + X beta_{j-1} <= cut_j + X beta_j] and [cut_j + X beta_j <=0]. This implementation uses \code{\link{constrOptim}}  to determine the MLE and so the results account for the restricted parameter space.
       |                                                                                                                                                                                                                                                                                    ^
checkRd: (-1) lcpm.Rd:52: Lost braces; missing escapes or markup?
    52 | \code{lcpm} provides the maximum likelihood estimate for ordinal outcomes (J>2 categories) and a Generalized Linear Model (GLM) with the log link without the assumption of proportionality. That is, lcpm determines the MLE for log[P(y <= j)]= cut_j + X beta_j subject to [cut_{j-1} + X beta_{j-1} <= cut_j + X beta_j] and [cut_j + X beta_j <=0]. This implementation uses \code{\link{constrOptim}}  to determine the MLE and so the results account for the restricted parameter space.
       |                                                                                                                                                                                                                                                                                                   ^
checkRd: (-1) ppm.Rd:51: Lost braces; missing escapes or markup?
    51 | \code{ppm} provides the maximum likelihood estimate for ordinal outcomes (J>2 categories) and a Generalized Linear Model with the log link with the assumption of proportionality. That is, ppm determines the MLE for log[P(y <= j)]= cut_j + X beta subject to [cut_{j-1} <= cut_j ] and [cut_j + X beta <=0]. This implementation uses \code{\link{constrOptim}} to determine the MLE and so the results should correctly account for the restricted parameter space. A proposed test for proportionality is included in \code{\link{lcpm}}.
       |                                                                                                                                                                                                                                                                       ^
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* DONE
Status: 1 NOTE