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

Estimate Binary (Probit and Logit), Ordered (Probit and Logit) and Poisson models with random parameters using Simulated Maximum Likelihood. Rchoice handles cross-sectional and panel databases.

Version: 0.2
Depends: R (≥ 3.1.2), Formula, maxLik
Imports: msm, plm, plotrix
Suggests: car, lmtest, memisc, pglm, sandwich, knitr
Published: 2014-12-17
Author: Mauricio Sarrias
Maintainer: Mauricio Sarrias <msarrias86 at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: Rchoice results


Reference manual: Rchoice.pdf
Vignettes: Discrete choice models with random parameters in R: The Rchoice Package
Package source: Rchoice_0.2.tar.gz
Windows binaries: r-devel: Rchoice_0.2.zip, r-release: Rchoice_0.2.zip, r-oldrel: Rchoice_0.1.zip
OS X Snow Leopard binaries: r-release: Rchoice_0.2.tgz, r-oldrel: Rchoice_0.1.tgz
OS X Mavericks binaries: r-release: Rchoice_0.2.tgz
Old sources: Rchoice archive