Datasetsbayesm 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

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