Package: bayesm
Version: 2.0-8
Date: 2006-03-15
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), Bayes
        Seemingly Unrelated Regression (SUR), Multinomial Logit (MNL)
        and Multinomial Probit (MNP), Multivariate Probit, Negative
        Binomial (Poisson) Regression, Multivariate Mixtures of Normals
        (including clustering), 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 Rossi, Allenby and McCulloch.
License: GPL (version 2 or later)
URL: http://gsbwww.uchicago.edu/fac/peter.rossi/research/bsm.html
Packaged: Wed Mar 15 11:27:54 2006; per
Built: R 2.2.1; i386-pc-mingw32; 2006-03-16 14:23:47; windows
