mclogit: Multinomial Logit Models for Categorical Responses and Discrete Choices

Provides estimators for multinomial logit models in their conditional logit (for discrete choices) and baseline logit variants (for categorical responses), optionally with overdispersion or random effects. Random effects models are estimated using the PQL technique (based on a Laplace approximation) or the MQL technique (based on a Solomon-Cox approximation). Estimates should be treated with caution if the group sizes are small.

Version:	0.9.15
Depends:	stats, Matrix
Imports:	MASS, memisc, methods, nlme
Suggests:	nnet, ucminf, knitr, rmarkdown
Published:	2025-12-16
DOI:	10.32614/CRAN.package.mclogit
Author:	Martin Elff [aut, cre]
Maintainer:	Martin Elff <martin at elff.eu>
BugReports:	https://github.com/melff/mclogit/issues
License:	GPL-2
URL:	http://melff.github.io/mclogit/,https://github.com/melff/mclogit/
NeedsCompilation:	no
Materials:	NEWS, ChangeLog
In views:	MixedModels
CRAN checks:	mclogit results

Documentation:

Reference manual:	mclogit.html , mclogit.pdf
Vignettes:	Approximate Inference for Multinomial Logit Models with Random Effects (source) The relation between baseline logit and conditional logit models (source) Baseline-category logit models (source) Conditional logit models (source) The IWLS algorithm used to fit conditional logit models (source) Random effects in baseline logit models and conditional logit models (source)

Downloads:

Package source:	mclogit_0.9.15.tar.gz
Windows binaries:	r-devel: mclogit_0.9.15.zip, r-release: mclogit_0.9.15.zip, r-oldrel: mclogit_0.9.15.zip
macOS binaries:	r-release (arm64): mclogit_0.9.15.tgz, r-oldrel (arm64): mclogit_0.9.15.tgz, r-release (x86_64): mclogit_0.9.15.tgz, r-oldrel (x86_64): mclogit_0.9.15.tgz
Old sources:	mclogit archive

Reverse dependencies:

Reverse imports:	abn, dtms, EQUALSTATS, projpred
Reverse suggests:	ggeffects, insight, marginaleffects, parameters, performance, see, vecmatch, WeightIt
Reverse enhances:	prediction, stargazer

Linking:

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