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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: | 0.2.6 |
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: | 2024-01-17 |
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 |
Reference manual: | GLMcat.pdf |
Vignettes: |
Discrete Choice Models in GLMcat A Tutorial on fitting Generalized Linear Models with the GLMcat Package An example of variable selection in 'GLMcat' |
Package source: | GLMcat_0.2.6.tar.gz |
Windows binaries: | r-devel: GLMcat_0.2.6.zip, r-release: GLMcat_0.2.6.zip, r-oldrel: GLMcat_0.2.6.zip |
macOS binaries: | r-release (arm64): GLMcat_0.2.6.tgz, r-oldrel (arm64): GLMcat_0.2.6.tgz, r-release (x86_64): GLMcat_0.2.6.tgz, r-oldrel (x86_64): GLMcat_0.2.6.tgz |
Old sources: | GLMcat archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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