lda: Collapsed Gibbs sampling methods for topic models
This package 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 writtten in C. Utility functions for
reading/writing data typically used in topic models, as well as
tools for examining posterior distributions are also included.
||R (≥ 2.10)|
||Matrix, reshape2, ggplot2 (≥ 0.9.1), penalized|
||Jonathan Chang <jonchang at fb.com>|