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.
| Version: |
1.3.2 |
| Depends: |
R (≥ 2.10) |
| Suggests: |
Matrix, reshape2, ggplot2 (≥ 0.9.1), penalized |
| Published: |
2012-10-14 |
| Author: |
Jonathan Chang |
| Maintainer: |
Jonathan Chang <jonchang at fb.com> |
| License: |
LGPL |
| NeedsCompilation: |
yes |
| CRAN checks: |
lda results |
Downloads:
Reverse dependencies: