Rchoice: Discrete Choice (Binary, Poisson and Ordered) Models with RandomParameters
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>.
| Version: | 0.3-6 |
| Depends: | R (≥ 4.0),Formula,maxLik |
| Imports: | sandwich,miscTools,numDeriv,memisc,msm,plm,plotrix, stats, graphics |
| Suggests: | car,lmtest,pglm,AER |
| Published: | 2023-03-10 |
| DOI: | 10.32614/CRAN.package.Rchoice |
| Author: | Mauricio Sarrias [aut, cre], Yves Croissant [ctb], Achim Zeileis [ctb] |
| Maintainer: | Mauricio Sarrias <msarrias86 at gmail.com> |
| BugReports: | https://github.com/mauricio1986/Rchoice/issues |
| License: | GPL-2 |GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/mauricio1986/Rchoice |
| NeedsCompilation: | no |
| Citation: | Rchoice citation info |
| Materials: | README,NEWS |
| In views: | Econometrics |
| CRAN checks: | Rchoice results |
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