bayesMCClust (1.0)

0 users

Mixtures-of-Experts Markov Chain Clustering and Dirichlet Multinomial Clustering.

http://cran.r-project.org/web/packages/bayesMCClust

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 <christoph.pamminger@gmail.com>

License: GPL-2

Uses: Does not use any package

Released about 5 years ago.


Ratings

Overall:

  (0 votes)

Documentation:

  (0 votes)

Log in to vote.

Reviews

No one has written a review of bayesMCClust yet. Want to be the first? Write one now.


Related packages: FunCluster, GLDEX, GSM, amap, bayesm, bayesmix, cba, cclust, clValid, clue, clusterGeneration, clusterRepro, clusterSim, cluster, clusterfly, clustvarsel, clv, depmix, e1071, flexclust(20 best matches, based on common tags.)


Search for bayesMCClust on google, google scholar, r-help, r-devel.

Visit bayesMCClust on R Graphical Manual.