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: |
1.3.1 |
| Depends: |
R (≥ 2.10) |
| Suggests: |
Matrix, ggplot2, penalized |
| Published: |
2011-11-03 |
| Author: |
Jonathan Chang |
| Maintainer: |
Jonathan Chang <jonchang@fb.com>, Andrew Dai
<a.dai at ed.ac.uk> |
| License: |
LGPL |
| CRAN checks: |
lda results |
Downloads:
Reverse dependencies: