Package: bayesm
Version: 1.0-1
Date: 2005-05-16
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,
        Multivariate Mixtures of Normals, Hierarchical Linear Models
        with normal prior and covariates, Hierarchical Multinomial
        Logits with mixture of normals prior and covariates, 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: Wed May 18 17:24:34 2005; per
Built: R 2.1.0; powerpc-apple-darwin7.9.0; 2005-05-29 22:30:43; unix
