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: 0.2.7 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: 2024-09-20 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 Materials: README NEWS CRAN checks: GLMcat results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=GLMcat to link to this page.
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