# topicmodels v0.2-6

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## Topic Models

Provides an interface to the C code for Latent Dirichlet Allocation (LDA) models and Correlated Topics Models (CTM) by David M. Blei and co-authors and the C++ code for fitting LDA models using Gibbs sampling by Xuan-Hieu Phan and co-authors.

## Functions in topicmodels

 Name Description perplexity Methods for Function perplexity posterior-methods Determine posterior probabilities CTM Correlated Topic Model distHellinger Compute Hellinger distance ldaformat2dtm Transform data from and for use with the logLik-methods Methods for Function logLik TopicModel-class Virtual class "TopicModel" TopicModelcontrol-class Different classes for controlling the estimation of topic models terms_and_topics LDA Latent Dirichlet Allocation AssociatedPress Associated Press data build_graph Construct the adjacency matrix for a topic graph No Results!