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. Software Depends: R (>= 2.10) Suggests: Matrix, ggplot2, penalized Jonathan Chang <jonchang@fb.com>, Andrew Dai <a.dai@ed.ac.uk> Jonathan Chang LGPL 2011-11-03 application/tgz http://CRAN.R-project.org/package=lda