# Source: r-cran-mnp
# Package: r-cran-mnp
# Versions: r-cran-mnp (3.1-6-1)
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Description: Fitting the Multinomial Probit Model
 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 package 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. <doi:10.1016/j.jeconom.2004.02.002> Detailed
 examples are given in Imai and van Dyk (2005). "MNP: R Package for Fitting
 the Multinomial Probit Model." Journal of Statistical Software, Vol. 14, No. 3
 (May), pp. 1-32. <doi:10.18637/jss.v014.i03>.
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