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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 multi-
nomial 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 in-
dividual, 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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The current version is 2.6-1 (built on 09/23/09) which runs on R
2.1 and higher. The source code is available for download from
The Comprehensive R Archive Network (CRAN)
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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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