mnlogit: Multinomial Logit Model

Time and memory efficient estimation of multinomial logit models using maximum likelihood method. Numerical optimization performed by Newton-Raphson method using an optimized, parallel C++ library to achieve fast computation of Hessian matrices. Motivated by large scale multiclass classification problems in econometrics and machine learning.

Version: 1.2.6
Imports: mlogit, lmtest, Formula, stats
Suggests: VGAM, nnet
Published: 2019-05-28
Author: Asad Hasan, Wang Zhiyu, Alireza S. Mahani
Maintainer: Asad Hasan <asadhasan32 at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: mnlogit citation info
Materials: ChangeLog
In views: Econometrics
CRAN checks: mnlogit results


Reference manual: mnlogit.pdf
Vignettes: Fast Estimation of Multinomial Logit Models: R package mnlogit
Package source: mnlogit_1.2.6.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: mnlogit_1.2.6.tgz, r-oldrel: mnlogit_1.2.6.tgz
Old sources: mnlogit archive

Reverse dependencies:

Reverse suggests: WeightIt
Reverse enhances: stargazer, texreg


Please use the canonical form to link to this page.