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Fitting the Multinomial Probit Model

0packages dependsuggested by 1
37.6Kdownloads / year
80.1%test coverage
13/13flavors OK

Overview

About

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.

Install

Health

CRAN checks
13OK
Slowest check: 2.8 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-09-08
  • ERROR12 OK, 1 ERROR2026-09-07
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-07-18
Show 2 earlier changesHide 2 earlier changes
  • NOTE12 OK, 1 NOTE2026-07-12
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 3.1-6
README· In the repository, left out of the releaseVignettesYes · 1 · staticNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Description cites a JSS article
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%
Vignettes (1)

Downloads

37.6K
CRAN downloads in the past year
Rank #2,202 · ~103/day · ~3.1K/mo
Daily download trend is not available in this view yet.
2.5K30 days
7.8K90 days
37.6K1 year
Compare downloads with other packages →
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Repository

13Stars
7Forks
0Open issues
0Open PRs
6Releases
177Commits
5Commit identities
177 commits · Last activity 2026-07-14 · 0% stars, 30d
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
650
Median days to close, 50 most recently updated closed PRs
0

Stars over time

2025-04-27 · 132026-07-07 · 13
PracticesBeta

2 development-tooling and community-health practices detected across 1 family in the upstream repository

Checks run against github.com/kosukeimai/mnp on 2026-10-11.

Continuous integration (2)
GitHub ActionsTravis CI (config file)
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
1 external dependency (excludes base and recommended)

Installing MNP adds no packages beyond those that come with R.

Depends (3)
R >= 2.1statsutils
Imports (0)
none
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect
Suggested by 1
Suggests, most downloaded first

Datasets

People & History

People (3)
Author, Maintainer since 1.0-1 (2004)
Author · added in 3.0-1
Contributor · added in 3.0-2
Listed in earlier versions (2)
David A. van Dyk.
no longer listed · 1.0-1 to 2.6-4
Jordan Vance
no longer listed · 1.0-1 to 2.0-1
Releases (45)

Pick two releases to compare their code metrics.

  • 3.1-6Latest
    record
    2026-07-13 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 3.1-5
    record
    2024-06-20 · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 3.1-4
    record
    2023-03-14 · diff ↗ ·
    removed 5 exports
    coef.mnp, cov.mnp, predict.mnp, summary.mnp, print.summary.mnp
  • R
    R 4.2.0 released · 2022-04-22
  • 3.1-3
    record
    2022-04-07 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 3.1-2
    record
    2021-05-13 · diff ↗
  • 3.1-1
    record
    2020-10-22 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • 3.1-0
    record
    2017-09-27 · diff ↗
Show 60 earlier eventsHide 60 earlier events

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
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("MNP")
Imai, K., Jin, H., & van Dyk, D. (2026). MNP: Fitting the Multinomial Probit Model (Version 3.1-6) [Computer software]. https://doi.org/10.32614/CRAN.package.MNP

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for MNP version 3.1-6 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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