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GLMcat: Generalized Linear Models for Categorical Responses

In statistical modeling, there is a wide variety of regression models for categorical dependent variables (nominal or ordinal data); yet, there is no software embracing all these models together in a uniform and generalized format. Following the methodology proposed by Peyhardi, Trottier, and Guédon (2015) <doi:10.1093/biomet/asv042>, we introduce 'GLMcat', an R package to estimate generalized linear models implemented under the unified specification (r, F, Z). Where r represents the ratio of probabilities (reference, cumulative, adjacent, or sequential), F the cumulative cdf function for the linkage, and Z, the design matrix. The package accompanies the paper "GLMcat: An R Package for Generalized Linear Models for Categorical Responses" in the Journal of Statistical Software, Volume 114, Issue 9 (see <doi:10.18637/jss.v114.i09>).

Version:1.0.0
Depends:R (≥ 2.10)
Imports:Rcpp, stats,stringr
LinkingTo:Rcpp,BH,RcppEigen
Suggests:knitr,rmarkdown,testthat (≥ 3.0.0),dplyr,ggplot2,gridExtra,gtools,tidyr,ordinal
Published:2025-09-04
DOI:10.32614/CRAN.package.GLMcat
Author:Lorena León [aut, cre], Jean Peyhardi [aut], Catherine Trottier [aut]
Maintainer:Lorena León <ylorenaleonv at gmail.com>
BugReports:https://github.com/ylleonv/GLMcat/issues
License:GPL-3
URL:https://github.com/ylleonv/GLMcat
NeedsCompilation:yes
Citation:GLMcat citation info
Materials:README,NEWS
CRAN checks:GLMcat results

Documentation:

Reference manual:GLMcat.html ,GLMcat.pdf
Vignettes:Discrete Choice Models in GLMcat (source,R code)
A Tutorial on fitting Generalized Linear Models with the GLMcat Package (source,R code)
An example of variable selection in 'GLMcat' (source,R code)

Downloads:

Package source: GLMcat_1.0.0.tar.gz
Windows binaries: r-devel:GLMcat_1.0.0.zip, r-release:GLMcat_1.0.0.zip, r-oldrel:GLMcat_1.0.0.zip
macOS binaries: r-release (arm64):GLMcat_1.0.0.tgz, r-oldrel (arm64):GLMcat_1.0.0.tgz, r-release (x86_64):GLMcat_1.0.0.tgz, r-oldrel (x86_64):GLMcat_1.0.0.tgz
Old sources: GLMcat archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=GLMcatto link to this page.


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