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.
|Date of publication||2015-11-22 11:48:11|
|Maintainer||Jonathan Chang <firstname.lastname@example.org>|
|Package repository||View on CRAN|
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