bayesm

bayesm is a software package for Bayesian analysis of many models of interest to marketers. In addition, bayesm contains a number of interesting datasets, including scanner panel data, key account level data, store level data and various types of survey data.

bayesm is an R package which can be downloaded from the CRAN network of mirror sites around the world. Users running R can install bayesm automatically from the "install packages menu".

Models included in bayesm are:

Bayes Regression (univariate or multivariate dep var)
Bayes Seemingly Unrelated Regression (SUR)
Multinomial Logit (MNL), Multinomial Probit (MNP), Multivariate Probit
Negative Binomial (Poisson) Regression
Multivariate Mixtures of Normals (including clustering)
Hierarchical Linear Models with a 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 Negative Binomial Regression Models
Bayesian analysis of choice-based conjoint data
Bayesian treatment of linear instrumental variables models
Analyis of Multivariate Ordinal survey data with scale usage heterogeneity

Datasets included in bayesm are:

Cheese - key account sliced cheese sales and marketing mix
Margarine - scanner panel data on margarine purchases
Detailing - panel data on physician prescribing and sales visits
Scotch - survey data on preferences for Scotch brands
Bank - conjoint survey data on credit card preferences
CustomerSat - customer satisfaction survey data