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bayesm
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]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2005-04-22
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
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
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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