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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. 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>).

Versions across snapshots

VersionRepositoryFileSize
1.0.0 rolling source/ R- GLMcat_1.0.0.tar.gz 531.2 KiB
1.0.0 rolling linux/jammy R-4.5 GLMcat_1.0.0.tar.gz 1.1 MiB
1.0.0 rolling linux/noble R-4.5 GLMcat_1.0.0.tar.gz 1.1 MiB
1.0.0 latest source/ R- GLMcat_1.0.0.tar.gz 531.2 KiB
1.0.0 latest linux/jammy R-4.5 GLMcat_1.0.0.tar.gz 1.1 MiB
1.0.0 latest linux/noble R-4.5 GLMcat_1.0.0.tar.gz 1.1 MiB
1.0.0 2026-04-23 source/ R- GLMcat_1.0.0.tar.gz 531.2 KiB
1.0.0 2026-04-09 windows/windows R-4.5 GLMcat_1.0.0.zip 1.3 MiB
0.2.7 2025-04-20 source/ R- GLMcat_0.2.7.tar.gz 530.5 KiB

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