Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Authors: Mauricio Sarrias
Title: Discrete Choice Models with Random Parameters in R: The Rchoice Package
Abstract: Rchoice is a package in R for estimating models with individual heterogeneity for both cross-sectional and panel (longitudinal) data. In particular, the package allows binary, ordinal and count response, as well as continuous and discrete covariates. Individual heterogeneity is modeled by allowing the parameter associated with each observed variable (e.g., its coefficient) to vary randomly across individuals according to some pre-specified distribution. Simulated maximum likelihood method is implemented for the estimation of the moments of the distributions. In addition, functions for plotting the conditional individual-specific coefficients and their confidence interval are provided. This article is a general description of Rchoice and all functionalities are illustrated using real databases.

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Paper: Discrete Choice Models with Random Parameters in R: The Rchoice Package     Download PDF (Downloads: 12208)
Rchoice_0.3-1.tar.gz: R source package Download (Downloads: 163; 204KB)
v74i10.R: R replication code Download (Downloads: 203; 3KB)

DOI: 10.18637/jss.v074.i10

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.