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 DOI: 10.32614/CRAN.package.gmnl 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: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=gmnl to link to this page.
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