lda: Collapsed Gibbs Sampling Methods for Topic Models

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.

Package details

AuthorJonathan Chang
MaintainerJonathan Chang <[email protected]>
LicenseLGPL
Version1.4.2
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("lda")

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lda documentation built on May 29, 2017, 2:11 p.m.