topicmodels v0.2-4
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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 | |
| terms_and_topics | Extract most likely terms or topics. | |
| posterior-methods | Determine posterior probabilities | |
| build_graph | Construct the adjacency matrix for a topic graph | |
| perplexity | Methods for Function perplexity | |
| TopicModelcontrol-class | Different classes for controlling the estimation of topic models | |
| TopicModel-class | Virtual class "TopicModel" | |
| AssociatedPress | Associated Press data | |
| CTM | Correlated Topic Model | |
| LDA | Latent Dirichlet Allocation | |
| ldaformat2dtm | Transform data from and for use with the lda package | |
| distHellinger | Compute Hellinger distance | |
| logLik-methods | Methods for Function logLik | |
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Details
| Type | Package |
| Additional_repositories | http://datacube.wu.ac.at |
| SystemRequirements | GNU Scientific Library version >= 1.8 |
| License | GPL-2 |
| Encoding | UTF-8 |
| LazyLoad | yes |
| NeedsCompilation | yes |
| Packaged | 2016-05-23 06:13:16 UTC; hornik |
| Repository | CRAN |
| Date/Publication | 2016-05-23 08:33:09 |
| depends | base (>= 2.15.0) , R (>= 2.15.0) |
| suggests | corpus , corpus.JSS.papers , lasso2 , lattice , lda , OAIHarvester , SnowballC , XML |
| imports | methods , modeltools , slam , stats4 , tm (>= 0.6) |
| Contributors | Bettina Gruen, Kurt Hornik |
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