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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.
Package details |
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Author | Christoph Pamminger <christoph.pamminger@gmail.com> |
Maintainer | Christoph Pamminger <christoph.pamminger@gmail.com> |
License | GPL-2 |
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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