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

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

Documentation:

Reference manual:

Rchoice.pdf

Downloads:

Package source:	Rchoice_0.3-6.tar.gz
Windows binaries:	r-devel: Rchoice_0.3-6.zip, r-release: Rchoice_0.3-6.zip, r-oldrel: Rchoice_0.3-6.zip
macOS binaries:	r-release (arm64): Rchoice_0.3-6.tgz, r-oldrel (arm64): Rchoice_0.3-6.tgz, r-release (x86_64): Rchoice_0.3-6.tgz, r-oldrel (x86_64): Rchoice_0.3-6.tgz
Old sources:	Rchoice archive

Reverse dependencies:

Reverse suggests:

marginaleffects

Linking:

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