Discrete Choice (Binary, Poisson and Ordered) Models with Random Parameters R package Rchoice version 0.3-6 CRAN Task View: Econometrics (https://CRAN.R-project.org/view=Econometrics) An implementation of simulated maximum likelihood method for the estimation of Binary (Probit and Logit), Ordered (Probit and Logit) and Poisson models with random parameters for cross-sectional and longitudinal data as presented in Sarrias (2016) <doi:10.18637/jss.v074.i10>. Software Depends: R (>= 4.0), Formula, maxLik Imports: sandwich, miscTools, numDeriv, memisc, msm, plm, plotrix, stats, graphics Suggests: car, lmtest, pglm, AER Mauricio Sarrias <msarrias86@gmail.com> Comprehensive R Archive Network (CRAN) Mauricio Sarrias [aut, cre] (ORCID: <https://orcid.org/0000-0001-5932-4817>), Yves Croissant [ctb], Achim Zeileis [ctb] GPL (>= 2) 2023-03-10 application/tgz https://CRAN.R-project.org/package=Rchoice doi:10.32614/CRAN.package.Rchoice