R: Collapsed Gibbs Sampling Methods for Topic Models

# Collapsed Gibbs Sampling Methods for Topic Models

## Documentation for package ‘lda’ version 1.5.2

- DESCRIPTION file
- Code demos. Use demo() to run them.
- Package README

## Help Pages

lda-package | Collapsed Gibbs Sampling Methods for Topic Models
concatenate.documents | Functions to manipulate text corpora in LDA format.
cora | A subset of the Cora dataset of scientific documents.
cora.cites | A subset of the Cora dataset of scientific documents.
cora.documents | A subset of the Cora dataset of scientific documents.
cora.titles | A subset of the Cora dataset of scientific documents.
cora.vocab | A subset of the Cora dataset of scientific documents.
document.lengths | Compute Summary Statistics of a Corpus
filter.words | Functions to manipulate text corpora in LDA format.
lda | Collapsed Gibbs Sampling Methods for Topic Models
lda.collapsed.gibbs.sampler | Functions to Fit LDA-type models
lda.cvb0 | Functions to Fit LDA-type models
lexicalize | Generate LDA Documents from Raw Text
links.as.edgelist | Convert a set of links keyed on source to a single list of edges.
mmsb.collapsed.gibbs.sampler | Functions to Fit LDA-type models
newsgroup | A collection of newsgroup messages with classes.
newsgroup.label.map | A collection of newsgroup messages with classes.
newsgroup.test.documents | A collection of newsgroup messages with classes.
newsgroup.test.labels | A collection of newsgroup messages with classes.
newsgroup.train.documents | A collection of newsgroup messages with classes.
newsgroup.train.labels | A collection of newsgroup messages with classes.
newsgroup.vocab | A collection of newsgroup messages with classes.
nubbi.collapsed.gibbs.sampler | Collapsed Gibbs Sampling for the Networks Uncovered By Bayesian Inference (NUBBI) Model.
poliblog | A collection of political blogs with ratings.
poliblog.documents | A collection of political blogs with ratings.
poliblog.ratings | A collection of political blogs with ratings.
poliblog.vocab | A collection of political blogs with ratings.
predictive.distribution | Compute predictive distributions for fitted LDA-type models.
predictive.link.probability | Use the RTM to predict whether a link exists between two documents.
read.documents | Read LDA-formatted Document and Vocabulary Files
read.vocab | Read LDA-formatted Document and Vocabulary Files
rtm.collapsed.gibbs.sampler | Collapsed Gibbs Sampling for the Relational Topic Model (RTM).
rtm.em | Collapsed Gibbs Sampling for the Relational Topic Model (RTM).
sampson | Sampson monk data
shift.word.indices | Functions to manipulate text corpora in LDA format.
slda.em | Functions to Fit LDA-type models
slda.predict | Predict the response variable of documents using an sLDA model.
slda.predict.docsums | Predict the response variable of documents using an sLDA model.
top.topic.documents | Get the Top Words and Documents in Each Topic
top.topic.words | Get the Top Words and Documents in Each Topic
word.counts | Compute Summary Statistics of a Corpus