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 cdf function for the linkage, and Z, the design matrix.


Reference manual

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0.2.4 by Lorena León, 4 months ago

Browse source code at

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

Documentation:   PDF Manual  

GPL-3 license

Imports Rcpp, stats, stringr

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

Linking to Rcpp, BH, RcppEigen

See at CRAN