Package: bayesm 3.1-6
Peter Rossi
bayesm: Bayesian Inference for Marketing/Micro-Econometrics
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).
Authors:
bayesm_3.1-6.tar.gz
bayesm_3.1-6.tar.gz(r-4.5-noble)bayesm_3.1-6.tar.gz(r-4.4-noble)
bayesm_3.1-6.tgz(r-4.4-emscripten)bayesm_3.1-6.tgz(r-4.3-emscripten)
bayesm.pdf |bayesm.html✨
bayesm/json (API)
# Install 'bayesm' in R: |
install.packages('bayesm', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- Scotch - Survey Data on Brands of Scotch Consumed
- bank - Bank Card Conjoint Data
- camera - Conjoint Survey Data for Digital Cameras
- cheese - Sliced Cheese Data
- customerSat - Customer Satisfaction Data
- detailing - Physician Detailing Data
- margarine - Household Panel Data on Margarine Purchases
- orangeJuice - Store-level Panel Data on Orange Juice Sales
- tuna - Canned Tuna Sales Data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:aa87c96e5c. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 17 2024 |
R-4.5-linux-x86_64 | OK | Dec 17 2024 |
Exports:bregcgetCclusterMixcondMomcreateXeMixMargDenghkvecllmnlllmnpllnhlogitlndIChisqlndIWishartlndMvnlndMvstlogMargDenNRmixDenmixDenBimnlHessmnpProbmomMixnmatnumEffplot.bayesm.hcoefplot.bayesm.matplot.bayesm.nmixrbayesBLPrbiNormGibbsrbprobitGibbsrdirichletrDPGibbsrhierBinLogitrhierLinearMixturerhierLinearModelrhierMnlDPrhierMnlRwMixturerhierNegbinRwrivDPrivGibbsrmixGibbsrmixturermnlIndepMetroprmnpGibbsrmultiregrmvpGibbsrmvstrnegbinRwrnmixGibbsrordprobitGibbsrscaleUsagersurGibbsrtrunruniregruniregGibbsrwishartsimnhlogitsummary.bayesm.matsummary.bayesm.nmixsummary.bayesm.var
Dependencies:RcppRcppArmadillo
bayesm Overview
Rendered frombayesm_Overview_Vignette.Rmd
usingknitr::rmarkdown
on Dec 17 2024.Last update: 2022-12-02
Started: 2017-06-25
Hierarchical Multinomial Logit with Sign Constraints
Rendered fromConstrained_MNL_Vignette.Rmd
usingknitr::rmarkdown
on Dec 17 2024.Last update: 2019-07-13
Started: 2017-06-25