mlogit: Multinomial Logit Models

Maximum likelihood estimation of random utility discrete choice models. The software is described in Croissant (2020) <doi:10.18637/jss.v095.i11> and the underlying methods in Train (2009) <doi:10.1017/CBO9780511805271>.

Version:	1.1-2
Depends:	R (≥ 2.10), dfidx
Imports:	Formula, zoo, lmtest, statmod, MASS, Rdpack
Suggests:	knitr, car, nnet, lattice, AER, ggplot2, texreg, rmarkdown
Published:	2025-04-28
Author:	Yves Croissant [aut, cre]
Maintainer:	Yves Croissant <yves.croissant at univ-reunion.fr>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL:	https://cran.r-project.org/package=mlogit
NeedsCompilation:	no
Citation:	mlogit citation info
Materials:	NEWS
In views:	Econometrics
CRAN checks:	mlogit results

Documentation:

Reference manual:

mlogit.pdf

Vignettes:

2. Data management, model description and testing (source, R code) 3. Random utility model and the multinomial logit model (source, R code) 4. Logit models relaxing the iid hypothesis (source, R code) 5. The random parameters (or mixed) logit model (source, R code) 6. The multinomial probit model (source, R code) 7. Miscellaneous models (source, R code) Exercise 1: Multinomial logit model (source, R code) Exercise 2: Nested logit model (source, R code) Exercise 3: Mixed logit model (source, R code) Exercise 4: Multinomial probit (source, R code) mlogit (source, R code)

Downloads:

Package source:	mlogit_1.1-2.tar.gz
Windows binaries:	r-devel: mlogit_1.1-1.zip, r-release: mlogit_1.1-1.zip, r-oldrel: mlogit_1.1-1.zip
macOS binaries:	r-release (arm64): mlogit_1.1-2.tgz, r-oldrel (arm64): mlogit_1.1-2.tgz, r-release (x86_64): mlogit_1.1-2.tgz, r-oldrel (x86_64): mlogit_1.1-2.tgz
Old sources:	mlogit archive

Reverse dependencies:

Reverse depends:	nopp, Ravages
Reverse imports:	clusterSEs, DCEmgmt, DCEtool, ExactMed, glm.predict, gmnl, misclassGLM, pleLMA, riskclustr
Reverse suggests:	AER, broom, catdata, generalhoslem, ggeffects, gofcat, insight, lmw, logitr, marginaleffects, micsr, mixl, mlogitBMA, nonnest2, performance, RprobitB, support.BWS, urbin, WeightIt
Reverse enhances:	prediction, stargazer, texreg

Linking:

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