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MNP

R package for fitting multinomial probit models using Markov chain Monte Carlo

https://github.com/kosukeimai/mnp

Science Score: 23.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ○
    codemeta.json file
  • ○
    .zenodo.json file
  • ✓
    DOI references
    Found 4 DOI reference(s) in README
  • ○
    Academic publication links
  • ✓
    Committers with academic emails
    5 of 6 committers (83.3%) from academic institutions
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (8.9%) to scientific vocabulary
Last synced: 11 months ago · JSON representation

Repository

R package for fitting multinomial probit models using Markov chain Monte Carlo

Basic Info
  • Host: GitHub
  • Owner: kosukeimai
  • Language: TeX
  • Default Branch: master
  • Size: 2.96 MB
Statistics
  • Stars: 13
  • Watchers: 6
  • Forks: 7
  • Open Issues: 2
  • Releases: 4
Created over 11 years ago · Last pushed about 2 years ago
Metadata Files
Readme Changelog

README.md

MNP: R package for fitting multinomial probit models using Markov chain Monte Carlo Build Status CRAN_Status_Badge CRAN downloads

This package 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. 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.

Owner

  • Name: Kosuke Imai
  • Login: kosukeimai
  • Kind: user
  • Location: Cambridge MA
  • Company: Harvard University

GitHub Events

Total
  • Watch event: 1
Last Year
  • Watch event: 1

Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 162
  • Total Committers: 6
  • Avg Commits per committer: 27.0
  • Development Distribution Score (DDS): 0.309
Past Year
  • Commits: 10
  • Committers: 3
  • Avg Commits per committer: 3.333
  • Development Distribution Score (DDS): 0.5
Top Committers
Name Email Commits
HJ08003 h****j@p****u 112
Kosuke Imai k****i@p****u 31
kosukeimai i****i@h****u 11
Kosuke Imai I****i@H****u 3
Noah Greifer n****r@g****m 3
Kosuke Imai i****i@H****u 2
Committer Domains (Top 20 + Academic)
harvard.edu: 3 princeton.edu: 2

Issues and Pull Requests

Last synced: 11 months ago

All Time
  • Total issues: 4
  • Total pull requests: 6
  • Average time to close issues: 3 days
  • Average time to close pull requests: 4 days
  • Total issue authors: 4
  • Total pull request authors: 3
  • Average comments per issue: 1.75
  • Average comments per pull request: 1.83
  • Merged pull requests: 6
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • lanealencar (1)
  • jlisic (1)
  • Anilkoushik (1)
  • albertostefanelli (1)
Pull Request Authors
  • HJ08003 (3)
  • ngreifer (2)
  • kosukeimai (1)
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • cran 1,681 last-month
  • Total docker downloads: 1,419
  • Total dependent packages: 2
  • Total dependent repositories: 3
  • Total versions: 44
  • Total maintainers: 1
cran.r-project.org: MNP

Fitting the Multinomial Probit Model

  • Versions: 44
  • Dependent Packages: 2
  • Dependent Repositories: 3
  • Downloads: 1,681 Last month
  • Docker Downloads: 1,419
Rankings
Forks count: 8.7%
Downloads: 9.3%
Average: 13.2%
Dependent packages count: 13.7%
Stargazers count: 15.1%
Docker downloads count: 16.0%
Dependent repos count: 16.5%
Maintainers (1)
imai@harvard.edu
Last synced: 11 months ago

Dependencies

DESCRIPTION cran
  • MASS * depends
  • R >= 2.1 depends
  • utils * depends
  • testthat * suggests