Imai, Kosuke, and David A. van Dyk (2005). ``MNP: R Package for Fitting the Multinomial Probit Model.'' Journal of Statistical Software, Vol. 14, No. 3.



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).

  Source Code

The source code and the documentation are available for download from The Comprehensive R Archive Network (CRAN) and the GitHub repository.


Regardless of one's operating system, the software can be installed by typing the following command at R prompt:

> install.packages("MNP")

This will install the latest version from CRAN.


The complete documentation is available in pdf format. The software also comes with standard R help files.

© Kosuke Imai
Last modified: Sat May 16 11:31:12 EDT 2015