Collapsed Gibbs Sampling Methods for Topic Models R package lda version 1.5.2 CRAN Task View: NaturalLanguageProcessing (https://CRAN.R-project.org/view=NaturalLanguageProcessing) 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. Software Depends: R (>= 4.3.0) Imports: methods (>= 4.3.0) Suggests: Matrix, reshape2, ggplot2 (>= 3.4.4), penalized, nnet Santiago Olivella <olivella@unc.edu> Comprehensive R Archive Network (CRAN) Jonathan Chang LGPL (>= 2.1) 2024-04-27 application/tgz https://CRAN.R-project.org/package=lda doi:10.32614/CRAN.package.lda