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) . 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.


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install.packages("gmnl")

1.1-3.2 by Mauricio Sarrias, 5 months ago


https://msarrias.com/description.html


Browse source code at https://github.com/cran/gmnl


Authors: Mauricio Sarrias [aut, cre] , Ricardo Daziano [aut] , Yves Croissant [ctb]


Documentation:   PDF Manual  


Task views: Econometrics


GPL (>= 2) license


Imports plotrix, msm, mlogit, truncnorm, stats, graphics, utils

Depends on maxLik, Formula

Suggests AER, lmtest, car, memisc, testthat


Suggested by insight, support.BWS.


See at CRAN