DESCRIPTION

Package: lda
Type: Package
Title: Collapsed Gibbs Sampling Methods for Topic Models
Version: 1.5.1
Date: 2018-05-16
Author: Jonathan Chang
Maintainer: Jonathan Chang <slycoder@gmail.com>
Description: 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.
License: LGPL
LazyLoad: yes
Suggests: Matrix, reshape2, ggplot2 (>= 2.1.0), penalized, nnet
BugReports: https://github.com/slycoder/R-lda/issues