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 CRAN network of mirror sites around the world. Users running R can install bayesm 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