1bayesm covers many important models used in marketing and micro-econometrics
2applications. The package includes: Bayes Regression (univariate or
3multivariate dep var), Bayes Seemingly Unrelated Regression (SUR), Binary and
4Ordinal Probit, Multinomial Logit (MNL) and Multinomial Probit (MNP),
5Multivariate Probit, Negative Binomial (Poisson) Regression, Multivariate
6Mixtures of Normals (including clustering), Dirichlet Process Prior Density
7Estimation with normal base, Hierarchical Linear Models with normal prior and
8covariates, Hierarchical Linear Models with a mixture of normals prior and
9covariates, Hierarchical Multinomial Logits with a mixture of normals prior
10and covariates, Hierarchical Multinomial Logits with a Dirichlet Process
11prior and covariates, Hierarchical Negative Binomial Regression Models,
12Bayesian analysis of choice-based conjoint data, Bayesian treatment of linear
13instrumental variables models, and Analysis of Multivariate Ordinal survey
14data with scale usage heterogeneity (as in Rossi et al, JASA (01)).
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