Mixtures-of-Experts Markov Chain Clustering and Dirichlet Multinomial Clustering 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. Software Depends: R (>= 2.14.1), gplots, xtable, grDevices, mnormt, MASS, bayesm, boa, e1071, gtools Suggests: nnet Christoph Pamminger <christoph.pamminger@gmail.com> Christoph Pamminger <christoph.pamminger@gmail.com> GPL-2 2012-01-31 application/tgz http://CRAN.R-project.org/package=bayesMCClust