lda (version 1.4.2)

Collapsed Gibbs Sampling Methods for Topic Models

Description

Implements latent Dirichlet allocation (LDA) and related models. This includes (but is not limited to) sLDA, corrLDA, and the mixed-membership stochastic blockmodel. Inference for all of these models is implemented via a fast collapsed Gibbs sampler written in C. Utility functions for reading/writing data typically used in topic models, as well as tools for examining posterior distributions are also included.

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Install

install.packages('lda')

Monthly Downloads

5,657

Version

1.4.2

License

LGPL

Maintainer

Last Published

November 22nd, 2015

Functions in lda (1.4.2)