Package: MNP
Version: 2.1-2
Date: 2005-03-22
Title: R Package for the Fitting the Multinomial Probit Model
Author: Kosuke Imai <kimai@princeton.edu>, David A. van Dyk
        <dvd@uci.edu>.
Maintainer: Kosuke Imai <kimai@princeton.edu>
Depends: R (>= 2.0.0), MASS
Description: 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). ``A Bayesian
        Analysis of the Multinomial Probit Model Using the Data
        Augmentation,'' Journal of Econometrics, Vol. 124, No. 2
        (February), pp. 311-334.
License: GPL (version 2 or later)
URL: http://www.princeton.edu/~kimai/research/MNP.html
Packaged: Tue Mar 22 19:38:10 2005; kimai
Built: R 2.0.1; x86_64-pc-linux-gnu; 2005-04-04 00:36:13; unix
