Fitting the Multinomial Probit Model
Overview
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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Health
- OK13 OK2026-09-08
- ERROR12 OK, 1 ERROR2026-09-07
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-07-18
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- NOTE12 OK, 1 NOTE2026-07-12
- OK14 OK2026-03-10
Documentation
- Help pages
- 8
- Examples that run
- 100%1 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 25%
- MNP PDF
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Dependencies
Installing MNP adds no packages beyond those that come with R.
Code & Tests
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- 3.1-6Latest
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
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- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 3.1-42023-03-14 · diff ↗ ·
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coef.mnp, cov.mnp, predict.mnp, summary.mnp, print.summary.mnp - RR 4.2.0 released · 2022-04-22
- 3.1-32022-04-07 · diff ↗
- RR 4.1.0 released · 2021-05-18
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- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
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- 3.0-22017-06-28 · diff ↗
- 3.0-12017-05-06 · diff ↗
- RR 3.4.0 released · 2017-04-21
- RR 3.3.0 released · 2016-05-03
- RR 3.2.0 released · 2015-04-16
- RR 3.1.0 released · 2014-04-10
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- RR 3.0.0 released · 2013-04-03
- RR 2.15.0 released · 2012-03-30
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- RR 2.14.0 released · 2011-10-31
- RR 2.13.0 released · 2011-04-13
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- RR 2.12.0 released · 2010-10-15
- RR 2.11.0 released · 2010-04-22
- RR 2.10.0 released · 2009-10-26
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- RR 2.9.0 released · 2009-04-17
- RR 2.8.0 released · 2008-10-20
- RR 2.7.0 released · 2008-04-22
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- RR 2.4.0 released · 2006-10-03
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- RR 2.3.0 released · 2006-04-24
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- RR 2.2.0 released · 2005-10-06
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- RR 2.1.0 released · 2005-04-18
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- RR 2.0.0 released · 2004-10-04
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- 1.0-12004-06-27
- RR 1.9.0 released · 2004-04-12
Package metadata
- First published
- 2004-06-27
- Total releases
- 45 / 22 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 2.1
- Bundled data
- 31 KB / 2 files
- Download size
- 1.7 MB
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