Topic Models

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Documentation for package ‘topicmodels’ version 0.2-15

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

AssociatedPress	Associated Press data
coerce-method	Different classes for controlling the estimation of topic models
CTM	Correlated Topic Model
CTM-class	Virtual class "TopicModel"
CTM_VEMcontrol-class	Different classes for controlling the estimation of topic models
distHellinger	Compute Hellinger distance
distHellinger.default	Compute Hellinger distance
distHellinger.simple_triplet_matrix	Compute Hellinger distance
dtm2ldaformat	Transform data from and for use with the 'lda' package
get_terms	Extract most likely terms or topics.
get_topics	Extract most likely terms or topics.
LDA	Latent Dirichlet Allocation
LDA-class	Virtual class "TopicModel"
LDAcontrol-class	Different classes for controlling the estimation of topic models
ldaformat2dtm	Transform data from and for use with the 'lda' package
LDA_Gibbscontrol-class	Different classes for controlling the estimation of topic models
LDA_VEMcontrol-class	Different classes for controlling the estimation of topic models
logLik-method	Methods for Function logLik
OPTcontrol-class	Different classes for controlling the estimation of topic models
perplexity	Methods for Function perplexity
perplexity-method	Methods for Function perplexity
posterior-method	Determine posterior probabilities
show-method	Virtual class "TopicModel"
terms-method	Extract most likely terms or topics.
TopicModel-class	Virtual class "TopicModel"
TopicModelcontrol-class	Different classes for controlling the estimation of topic models
topics	Extract most likely terms or topics.
topics-method	Extract most likely terms or topics.