Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Rebecca Killick, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
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Authors: Kosuke Imai, David A. Van Dyk
Title: MNP: R Package for Fitting the Multinomial Probit Model
Abstract: MNP is a publicly available R package that fits the Bayesian multinomial probit model via Markov chain Monte Carlo. The multinomial probit model is often used to analyze the discrete choices made by individuals recorded in survey data. Examples where the multinomial probit model may be useful include the analysis of product choice by consumers in market research and the analysis of candidate or party choice by voters in electoral studies. The MNP software can also fit the model with different choice sets for each individual, and complete or partial individual choice orderings of the available alternatives from the choice set. The estimation is based on the efficient marginal data augmentation algorithm that is developed by Imai and van Dyk (2005).

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Paper: MNP: R Package for Fitting the Multinomial Probit Model     Download PDF (Downloads: 7600)
MNP_2.2-2.tar: R source package Download (Downloads: 1344; 290KB)

DOI: 10.18637/jss.v014.i03

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Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.