Generalized Linear Models for Categorical Responses R package GLMcat version 1.0.0 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>). Software 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 Lorena León <ylorenaleonv@gmail.com> Comprehensive R Archive Network (CRAN) Lorena León [aut, cre], Jean Peyhardi [aut], Catherine Trottier [aut] GPL-3 2025-09-04 application/tgz https://CRAN.R-project.org/package=GLMcat doi:10.32614/CRAN.package.GLMcat