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MNP (version 1.0-4)

MNP: R Package for Fitting the Multinomial Probit Models

Description

MNP is a publicly available R package that fits the Bayesian Multinomial Probit models via Markov chain Monte Carlo. Along with the standard Multinomial Probit model, it can also fit models with different choice sets for each observation and complete or partial ordering of all the available alternatives. The estimation is based on the efficient marginal data augmentation algorithm that is developed by Imai and van Dyk (2004).

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Version

Install

install.packages('MNP')

Monthly Downloads

1,345

Version

1.0-4

License

GPL (version 2 or later)

Maintainer

Kosuke Imai

Last Published

June 20th, 2024

Functions in MNP (1.0-4)

xmatrix.mnp

xmatrix.mnp: Generating the model matrix for the Multinomial Probit Models
ymatrix.mnp

ymatrix.mnp: Generating the response matrix for the Multinomial Probit Models
mprobit

Fitting the Multinomial Probit Models via Markov chain Monte Carlo
japan

Voters' Preferences of Political Parties in Japan (1995)
detergent

Detergent Brand Choice
summary.mnp

Summarizing the results for the Multinomial Probit Models