Rlda: Bayesian LDA for Mixed-Membership Clustering Analysis

Estimates the Bayesian LDA model for mixed-membership clustering based on different types of data (i.e., Multinomial, Bernoulli, and Binomial entries).

Version: 0.1.1
Depends: R (≥ 2.10), Rcpp (≥ 0.9.4), RcppProgress (≥ 0.1), doParallel (≥ 1.0.10), foreach (≥ 1.4.3)
Imports: gtools, parallel
LinkingTo: Rcpp, RcppArmadillo, RcppProgress
Suggests: knitr, rmarkdown, RColorBrewer, reshape2
Published: 2017-04-27
Author: Pedro Albuquerque and Denis Valle and Daijiang Li
Maintainer: Pedro Albuquerque <pedroa at unb.br>
License: GPL-2
NeedsCompilation: yes
SystemRequirements: GNU make
Materials: NEWS
CRAN checks: Rlda results

Downloads:

Reference manual: Rlda.pdf
Vignettes: Bayesian LDA for mixed-membership clustering analysis.
Package source: Rlda_0.1.1.tar.gz
Windows binaries: r-devel: Rlda_0.1.0.zip, r-release: Rlda_0.1.0.zip, r-oldrel: Rlda_0.1.1.zip
OS X El Capitan binaries: r-release: Rlda_0.1.1.tgz
OS X Mavericks binaries: r-oldrel: Rlda_0.1.1.tgz
Old sources: Rlda archive

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