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) , 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 distribution function for the linkage, and Z, the design matrix.


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install.packages("GLMcat")

0.2.0 by Lorena León, 2 hours ago


Browse source code at https://github.com/cran/GLMcat


Authors: Lorena León [aut, cre] , Jean Peyhardi [aut] , Catherine Trottier [aut]


Documentation:   PDF Manual  


GPL-3 license


Imports Rcpp, stats

Suggests knitr, rmarkdown, testthat, dplyr, ggplot2, gridExtra, gtools, tidyr

Linking to Rcpp, BH, RcppEigen


See at CRAN