bayesMCClust (1.0)

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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.

Maintainer: Christoph Pamminger
Author(s): Christoph Pamminger <>

License: GPL-2

Uses: Does not use any package

Released over 5 years ago.



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