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bayesm  

Bayesian Inference for Marketing/Micro-Econometrics
View on CRAN: Click here


Download and install bayesm package within the R console
Install from CRAN:
install.packages("bayesm")

Install from Github:
library("remotes")
install_github("cran/bayesm")

Install by package version:
library("remotes")
install_version("bayesm", "3.1-6")



Attach the package and use:
library("bayesm")
Maintained by
Peter Rossi
[Scholar Profile | Author Map]
First Published: 2005-04-15
Latest Update: 2022-12-02
Description:
Covers many important models used in marketing and micro-econometrics applications. The package includes: Bayes Regression (univariate or multivariate dep var), Bayes Seemingly Unrelated Regression (SUR), Binary and Ordinal Probit, Multinomial Logit (MNL) and Multinomial Probit (MNP), Multivariate Probit, Negative Binomial (Poisson) Regression, Multivariate Mixtures of Normals (including clustering), Dirichlet Process Prior Density Estimation with normal base, Hierarchical Linear Models with normal prior and covariates, Hierarchical Linear Models with a mixture of normals prior and covariates, Hierarchical Multinomial Logits with a mixture of normals prior and covariates, Hierarchical Multinomial Logits with a Dirichlet Process prior and covariates, Hierarchical Negative Binomial Regression Models, Bayesian analysis of choice-based conjoint data, Bayesian treatment of linear instrumental variables models, Analysis of Multivariate Ordinal survey data with scale usage heterogeneity (as in Rossi et al, JASA (01)), Bayesian Analysis of Aggregate Random Coefficient Logit Models as in BLP (see Jiang, Manchanda, Rossi 2009) For further reference, consult our book, Bayesian Statistics and Marketing by Rossi, Allenby and McCulloch (Wiley first edition 2005 and second forthcoming) and Bayesian Non- and Semi-Parametric Methods and Applications (Princeton U Press 2014).
How to cite:
Peter Rossi (2005). bayesm: Bayesian Inference for Marketing/Micro-Econometrics. R package version 3.1-6, https://cran.r-project.org/web/packages/bayesm. Accessed 07 Apr. 2025.
Previous versions and publish date:
0.0-1 (2005-04-22 08:49), 0.0-2 (2005-04-27 10:32), 0.0 (2005-04-15 08:49), 1.0-1 (2005-05-19 08:19), 1.0-2 (2005-05-30 12:51), 1.1-0 (2005-06-13 10:13), 1.1-1 (2005-07-03 17:36), 1.1-2 (2005-07-06 09:24), 2.0-1 (2005-09-30 19:18), 2.0-2 (2005-11-10 18:58), 2.0-3 (2005-12-01 08:32), 2.0-4 (2005-12-09 09:27), 2.0-5 (2006-01-01 22:51), 2.0-6 (2006-01-25 10:03), 2.0-7 (2006-02-04 00:23), 2.0-8 (2006-03-16 11:20), 2.0-9 (2007-01-18 11:17), 2.1-0 (2007-03-07 14:39), 2.1-1 (2007-03-08 10:38), 2.1-2 (2007-03-16 18:16), 2.1-3 (2007-03-29 10:34), 2.2-0 (2008-03-07 19:12), 2.2-1 (2008-03-12 17:24), 2.2-2 (2008-06-09 08:56), 2.2-3 (2010-08-11 22:01), 2.2-4 (2011-02-27 18:05), 2.2-5 (2012-05-16 09:49), 3.0-0 (2015-06-13 01:09), 3.0-1 (2015-06-16 01:07), 3.0-2 (2015-06-20 08:33), 3.1-0.1 (2017-07-21 17:05), 3.1-0 (2017-06-25 09:08), 3.1-1 (2018-12-21 08:20), 3.1-2 (2019-07-13 23:51), 3.1-3 (2019-07-30 00:50), 3.1-4 (2019-10-15 09:50), 3.1-5 (2022-12-02 11:10)
Other packages that cited bayesm R package
View bayesm citation profile
Other R packages that bayesm depends, imports, suggests or enhances
Complete documentation for bayesm
Functions, R codes and Examples using the bayesm R package
Some associated functions: Scotch . bank . breg . camera . cgetC . cheese . clusterMix . condMom . createX . customerSat . detailing . eMixMargDen . ghkvec . llmnl . llmnp . llnhlogit . lndIChisq . lndIWishart . lndMvn . lndMvst . logMargDenNR . margarine . mixDen . mixDenBi . mnlHess . mnpProb . momMix . nmat . numEff . orangeJuice . plot.bayesm.hcoef . plot.bayesm.mat . plot.bayesm.nmix . rDPGibbs . rbayesBLP . rbiNormGibbs . rbprobitGibbs . rdirichlet . rhierBinLogit . rhierLinearMixture . rhierLinearModel . rhierMnlDP . rhierMnlRwMixture . rhierNegbinRw . rivDP . rivGibbs . rmixGibbs . rmixture . rmnlIndepMetrop . rmnpGibbs . rmultireg . rmvpGibbs . rmvst . rnegbinRw . rnmixGibbs . rordprobitGibbs . rscaleUsage . rsurGibbs . rtrun . runireg . runiregGibbs . rwishart . simnhlogit . summary.bayesm.mat . summary.bayesm.nmix . summary.bayesm.var . tuna . 
Some associated R codes: BayesmConstants.R . BayesmFunctions.R . RcppExports.R . clusterMix_rcpp.R . condMom.R . createX.R . eMixMargDen.R . fsh.R . llmnp.R . llnhlogit.R . logMargDenNR.R . mixDen.R . mixDenBi.R . mnlHess.R . mnpProb.R . momMix.R . nmat.R . numEff.R . plot.bayesm.hcoef.R . plot.bayesm.mat.R . plot.bayesm.nmix.R . rbayesBLP_rcpp.R . rbiNormGibbs.R . rhierBinLogit.R . rhierLinearModel_rcpp.R . rhierMnlRwMixture_rcpp.R . rivDP_rcpp.R . rivGibbs_rcpp.R . rmnlIndepMetrop_rcpp.R . simnhlogit.R . summary.bayesm.mat.R . summary.bayesm.nmix.R . summary.bayesm.var.R .  Full bayesm package functions and examples
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