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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 that can be downloaded from the network of mirror sites around the world. Users running R can automatically from within R.

Models Included in bayesm

• 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
• Analysis of Multivariate Ordinal survey data with scale usage heterogeneity

Datasets Included in bayesm

• 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