{ "_id": "6a34eee13efcd9bda43cf4d4", "Package": "MNP", "Version": "3.1-5", "Title": "Fitting the Multinomial Probit Model", "Authors@R": "c(\nperson(\"Kosuke\", \"Imai\", , \"imai@harvard.edu\", c(\"aut\", \"cre\")),\nperson(\"David\", \"van Dyk\", , \"dvandyk@imperial.ac.uk\", c(\"aut\")),\nperson(\"Hubert\", \"Jin\", , \"hubertj@princeton.edu\", c(\"ctb\"))\n)", "Maintainer": "Kosuke Imai ", "Description": "Fits the Bayesian multinomial probit model via Markov\nchain Monte Carlo. The multinomial probit model is often used\nto analyze the discrete choices made by individuals recorded in\nsurvey data. Examples where the multinomial probit model may be\nuseful include the analysis of product choice by consumers in\nmarket research and the analysis of candidate or party choice\nby voters in electoral studies. The MNP package can also fit\nthe model with different choice sets for each individual, and\ncomplete or partial individual choice orderings of the\navailable alternatives from the choice set. The estimation is\nbased on the efficient marginal data augmentation algorithm\nthat is developed by Imai and van Dyk (2005). \"A Bayesian\nAnalysis of the Multinomial Probit Model Using the Data\nAugmentation.\" Journal of Econometrics, Vol. 124, No. 2\n(February), pp. 311-334. \nDetailed examples are given in Imai and van Dyk (2005). \"MNP: R\nPackage for Fitting the Multinomial Probit Model.\" Journal of\nStatistical Software, Vol. 14, No. 3 (May), pp. 1-32.\n.", "LazyLoad": "yes", "LazyData": "yes", "License": "GPL (>= 2)", "Encoding": "UTF-8", "URL": "https://github.com/kosukeimai/MNP", "BugReports": "https://github.com/kosukeimai/MNP/issues", "NeedsCompilation": "yes", "RoxygenNote": "7.3.1", "Packaged": { "Date": "2026-06-19 07:22:07 UTC", "User": "root" }, "Author": "Kosuke Imai [aut, cre], David van Dyk [aut], Hubert Jin [ctb]", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2024-06-21 02:42:10 UTC", "RemoteUrl": "https://github.com/cran/MNP", "RemoteRef": 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