Collapsed Gibbs Sampling Methods for Topic Models

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Documentation for package ‘lda’ version 1.5.2

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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