Package: bayesm
Version: 1.1-1
Date: 2005-07-01
Title: Bayesian Inference for Marketing/Micro-econometrics
Author: Peter Rossi <peter.rossi@ChicagoGsb.edu>, Rob McCulloch
        <robert.mcculloch@ChicagoGsb.edu>.
Maintainer: Peter Rossi <peter.rossi@chicagosb.edu>
Depends: R (>= 1.8.1)
Description: bayesm covers many important models used in marketing and
        micro-econometrics applications. The package includes: Bayes
        Regression (univariate or multivariate dep var), Multinomial
        Logit (MNL) and Multinomial Probit (MNP), Multivariate Probit,
        Negative Binomial Regression, Multivariate Mixtures of
        Normals, Hierarchical Linear Models with normal prior and
        covariates, Hierarchical Multinomial Logits with 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, and Analyis of Multivariate Ordinal survey data with
        scale usage heterogeneity (as in Rossi et al, JASA (01)). For
        further reference, consult our book, Bayesian Statistics and
        Marketing by Allenby, McCulloch and Rossi.
License: GPL (version 2 or later)
URL: http://gsbwww.uchicago.edu/fac/peter.rossi/research/bsm.html
Packaged: Fri Jul 1 11:33:45 2005; per
Built: R 2.1.0; powerpc-apple-darwin7.9.0; 2005-07-05 23:49:21; unix
