{"added":null,"apiVersion":1,"behindSince":null,"buildDepends":[],"categories":["finance","math","r"],"comment":"Bayesian inference for marketing/micro-econometrics","compare":null,"dependentCount":null,"description":"Covers many important models used in marketing and micro-econometrics\napplications. The package includes: Bayes Regression (univariate or\nmultivariate dep var), Bayes Seemingly Unrelated Regression (SUR),\nBinary and Ordinal Probit, Multinomial Logit (MNL) and Multinomial\nProbit (MNP), Multivariate Probit, Negative Binomial (Poisson)\nRegression, Multivariate Mixtures of Normals (including clustering),\nDirichlet Process Prior Density Estimation with normal base,\nHierarchical Linear Models with normal prior and covariates,\nHierarchical Linear Models with a mixture of normals prior and\ncovariates, Hierarchical Multinomial Logits with a mixture of normals\nprior and covariates, Hierarchical Multinomial Logits with a Dirichlet\nProcess prior and covariates, Hierarchical Negative Binomial\nRegression Models, Bayesian analysis of choice-based conjoint data,\nBayesian treatment of linear instrumental variables models, Analysis\nof Multivariate Ordinal survey data with scale usage heterogeneity (as\nin Rossi et al, JASA (01)), Bayesian Analysis of Aggregate Random\nCoefficient Logit Models as in BLP (see Jiang, Manchanda, Rossi 2009)\nFor further reference, consult our book, Bayesian Statistics and\nMarketing by Rossi, Allenby and McCulloch (Wiley 2005) and Bayesian\nNon- and Semi-Parametric Methods and Applications (Princeton U Press\n2014).","flavors":[],"html":"https://daemonports.org/netbsd/finance/R-bayesm/","kind":"port","lastUpdate":"2026-09-15T10:06:21Z","license":["gnu-gpl-v2 OR gnu-gpl-v3"],"maintainer":"pkgsrc-users@NetBSD.org","name":"R-bayesm","newest":false,"newestVersion":null,"noVulnData":false,"origin":"finance/R-bayesm","otherSystems":[],"packages":[{"repo":"NetBSD 10.1 x86_64","versions":["3.1.7"]},{"repo":"NetBSD 10.1 aarch64","versions":["3.1.7"]},{"repo":"SmartOS / illumos x86_64","versions":["3.1.7"]},{"repo":"macOS 15 arm64","versions":["3.1.7"]}],"pkgName":"R-bayesm-3.1.7","related":null,"repository":"pkgsrc","requiredBy":["math/R-compositions"],"requiredByCount":1,"runDepends":["devel/R-Rcpp","lang/gcc10","math/R","math/R-RcppArmadillo"],"status":null,"system":"netbsd","systemLabel":"NetBSD","version":"3.1.7","versions":null,"vulnerabilities":null,"www":"https://CRAN.R-project.org/package=bayesm"}