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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). |
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.
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