bayesMCClust: Mixtures-of-Experts Markov Chain Clustering and Dirichlet Multinomial Clustering
Version 1.0

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

AuthorChristoph Pamminger <christoph.pamminger@gmail.com>
Date of publication2012-01-31 10:57:02
MaintainerChristoph Pamminger <christoph.pamminger@gmail.com>
LicenseGPL-2
Version1.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("bayesMCClust")

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bayesMCClust documentation built on May 29, 2017, 3:31 p.m.