Package: bayesMCClust
Type: Package
Title: Mixtures-of-Experts Markov Chain Clustering and Dirichlet
        Multinomial Clustering
Version: 1.0
Date: 2012-01-26
Author: Christoph Pamminger <christoph.pamminger@gmail.com>
Maintainer: Christoph Pamminger <christoph.pamminger@gmail.com>
Description: This package provides various Markov Chain Monte Carlo
        (MCMC) sampler for model-based clustering of discrete-valued
        time series obtained by observing a categorical variable with
        several states (in a Bayesian approach).  In order to analyze
        group membership, we provide also an extension to the
        approaches by formulating a probabilistic model for the latent
        group indicators within the Bayesian classification rule using
        a multinomial logit model.
Depends: R (>= 2.14.1), gplots, xtable, grDevices, mnormt, MASS,
        bayesm, boa, e1071, gtools
Suggests: nnet
License: GPL-2
LazyLoad: yes
Packaged: 2012-01-31 09:48:34 UTC; AK107357
Repository: CRAN
Date/Publication: 2012-01-31 10:57:02
Built: R 3.2.5; ; 2017-04-20 08:01:31 UTC; windows
