Package: GLMcat 0.2.7

Lorena León

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.

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

GLMcat_0.2.7.tar.gz
GLMcat_0.2.7.zip(r-4.7-x86_64)GLMcat_0.2.7.zip(r-4.7-arm64)GLMcat_0.2.7.zip(r-4.6-x86_64)GLMcat_0.2.7.zip(r-4.6-arm64)GLMcat_0.2.7.zip(r-4.5-x86_64)
GLMcat_0.2.7.tgz(r-4.6-x86_64)GLMcat_0.2.7.tgz(r-4.6-arm64)GLMcat_0.2.7.tgz(r-4.5-x86_64)GLMcat_0.2.7.tgz(r-4.5-arm64)
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GLMcat_0.2.7.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
GLMcat/json (API)

# Install 'GLMcat' in R:
install.packages('GLMcat', repos = c('https://ylleonv.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/ylleonv/glmcat/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

cpp

5.21 score 4 stars 27 scripts 526 downloads 3 exports 18 dependencies

Last updated from:c923a6137d. Checks:13 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE184
linux-devel-x86_64NOTE211
source / vignettesOK371
linux-release-arm64NOTE204
linux-release-x86_64NOTE174
macos-release-arm64NOTE158
macos-release-x86_64NOTE286
macos-oldrel-arm64NOTE193
macos-oldrel-x86_64NOTE363
windows-devel-arm64NOTE432
windows-devel-x86_64NOTE234
windows-release-arm64NOTE391
windows-release-x86_64NOTE185
windows-oldrel-x86_64NOTE180
wasm-releaseOK151

Exports:control_glmcatdiscrete_cmglmcat

Dependencies:BHcligluelatticelifecyclemagrittrMASSMatrixnlmenumDerivordinalRcppRcppEigenrlangstringistringrucminfvctrs

A tutorial on fitting Generalized Linear Models for categorical responses with the GLMcat package
Introduction to the (r,F,Z) methodology: | Ratio of probabilities r\ | Cumulative cdf function F\ | Design Matrix $Z$\ | Fitting (r,F,Z) with the glmcat package | Family of reference models | Family of adjacent models | Family of sequential models | Family of cumulative models | Conclusion | References
Rendered fromGLMcat_tutorial.Rmdusingknitr::rmarkdown

Last update: 2023-08-07
Started: 2023-06-10

An example of variable selection in GLMcat
Student CDF | Logistic CDF
Rendered fromVar_sel_ex.Rmdusingknitr::rmarkdown

Last update: 2023-08-07
Started: 2023-08-07

An example of discrete choice modeling in GLMcat
Dataset | Conclusion | References
Rendered fromDiscrete_CM_examples.Rmdusingknitr::rmarkdown

Last update: 2023-06-10
Started: 2023-06-10