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: | 0.2.5 |
| 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: | 2022-08-17 |
| Author: | Lorena León [aut, cre], Jean Peyhardi [aut], Catherine Trottier [aut] |
| Maintainer: | Lorena León <ylorenaleonv at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| Materials: | README NEWS |
| CRAN checks: | GLMcat results |
| Reference manual: | GLMcat.pdf |
| Vignettes: |
Discrete Choice Models in GLMcat A Tutorial on fitting Generalized Linear Models with the glmcat Package |
| Package source: | GLMcat_0.2.5.tar.gz |
| Windows binaries: | r-devel: GLMcat_0.2.5.zip, r-release: GLMcat_0.2.5.zip, r-oldrel: GLMcat_0.2.5.zip |
| macOS binaries: | r-release (arm64): GLMcat_0.2.5.tgz, r-oldrel (arm64): GLMcat_0.2.5.tgz, r-release (x86_64): GLMcat_0.2.5.tgz, r-oldrel (x86_64): GLMcat_0.2.5.tgz |
| Old sources: | GLMcat archive |
Please use the canonical form https://CRAN.R-project.org/package=GLMcat to link to this page.