gmnl: Multinomial Logit Models with Random Parameters

An implementation of maximum simulated likelihood method for the estimation of multinomial logit models with random coefficients as presented by Sarrias and Daziano (2017) <doi:10.18637/jss.v079.i02>. Specifically, it allows estimating models with continuous heterogeneity such as the mixed multinomial logit and the generalized multinomial logit. It also allows estimating models with discrete heterogeneity such as the latent class and the mixed-mixed multinomial logit model.

Version:	1.1-3.2
Depends:	R (≥ 3.6.0), maxLik, Formula
Imports:	plotrix, msm, mlogit, truncnorm, stats, graphics, utils
Suggests:	AER, lmtest, car, memisc, testthat
Published:	2020-05-27
Author:	Mauricio Sarrias [aut, cre], Ricardo Daziano [aut], Yves Croissant [ctb]
Maintainer:	Mauricio Sarrias <msarrias86 at gmail.com>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL:	https://msarrias.com/description.html
NeedsCompilation:	no
Citation:	gmnl citation info
Materials:	NEWS
In views:	Econometrics
CRAN checks:	gmnl results

Documentation:

Reference manual:

gmnl.pdf

Downloads:

Package source:	gmnl_1.1-3.2.tar.gz
Windows binaries:	r-devel: gmnl_1.1-3.2.zip, r-release: gmnl_1.1-3.2.zip, r-oldrel: gmnl_1.1-3.2.zip
macOS binaries:	r-release (arm64): gmnl_1.1-3.2.tgz, r-oldrel (arm64): gmnl_1.1-3.2.tgz, r-release (x86_64): gmnl_1.1-3.2.tgz, r-oldrel (x86_64): gmnl_1.1-3.2.tgz
Old sources:	gmnl archive

Reverse dependencies:

Reverse suggests:

insight, logitr, support.BWS

Linking:

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