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Rchoice: Discrete Choice (Binary, Poisson and Ordered) Models with Random Parameters (original) (raw)

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 ORCID iD [aut, cre], Yves Croissant [ctb], Achim Zeileis [ctb]
Maintainer: Mauricio Sarrias
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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