Package: MNP 3.1-5

Kosuke Imai

MNP: Fitting the Multinomial Probit Model

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>.

Authors:Kosuke Imai [aut, cre], David van Dyk [aut], Hubert Jin [ctb]

MNP_3.1-5.tar.gz
MNP_3.1-5.tar.gz(r-4.5-noble)MNP_3.1-5.tar.gz(r-4.4-noble)
MNP_3.1-5.tgz(r-4.4-emscripten)MNP_3.1-5.tgz(r-4.3-emscripten)
MNP.pdf |MNP.html
MNP/json (API)

# Install 'MNP' in R:
install.packages('MNP', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/kosukeimai/mnp/issues

Uses libs:
  • openblas– Optimized BLAS
Datasets:
  • detergent - Detergent Brand Choice
  • japan - Voters' Preferences of Political Parties in Japan

openblas

3.88 score 43 scripts 1.8k downloads 11 mentions 1 exports 0 dependencies

Last updated 6 months agofrom:f696c8af4f. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 03 2024
R-4.5-linux-x86_64OKDec 03 2024

Exports:mnp

Dependencies:

MNP

Rendered fromMNP.Rnwusingutils::Sweaveon Dec 03 2024.

Last update: 2023-03-14
Started: 2017-05-06