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This package provides various Markov Chain Monte Carlo (MCMC) sampler for modelbased clustering of discretevalued 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.
Package details 


Author  Christoph Pamminger <christoph.pamminger@gmail.com> 
Maintainer  Christoph Pamminger <christoph.pamminger@gmail.com> 
License  GPL2 
Version  1.0 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

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