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 <slycoder@gmail.com>
Package repositoryView on CRAN
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lda documentation built on May 1, 2019, 10:34 p.m.