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.

Version:	0.2.6
Depends:	R (≥ 2.10)
Imports:	Rcpp, stats, stringr, ordinal
LinkingTo:	Rcpp, BH, RcppEigen
Suggests:	knitr, rmarkdown, testthat (≥ 3.0.0), dplyr, ggplot2, gridExtra, gtools, tidyr
Published:	2024-01-17
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
Materials:	README NEWS
CRAN checks:	GLMcat results

Documentation:

Reference manual:	GLMcat.pdf
Vignettes:	Discrete Choice Models in GLMcat A Tutorial on fitting Generalized Linear Models with the GLMcat Package An example of variable selection in 'GLMcat'

Downloads:

Package source:	GLMcat_0.2.6.tar.gz
Windows binaries:	r-devel: GLMcat_0.2.6.zip, r-release: GLMcat_0.2.6.zip, r-oldrel: GLMcat_0.2.6.zip
macOS binaries:	r-release (arm64): GLMcat_0.2.6.tgz, r-oldrel (arm64): GLMcat_0.2.6.tgz, r-release (x86_64): GLMcat_0.2.6.tgz, r-oldrel (x86_64): GLMcat_0.2.6.tgz
Old sources:	GLMcat archive

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