Rlda: Bayesian LDA for Mixed-Membership Clustering Analysis

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

Version: 0.1.0
Depends: R (≥ 2.10), Rcpp (≥ 0.9.4), RcppProgress (≥ 0.1)
Imports: gtools
LinkingTo: Rcpp, RcppArmadillo, RcppProgress
Suggests: knitr, rmarkdown
Published: 2017-03-16
Author: Pedro Albuquerque and Denis Valle and Daijiang Li
Maintainer: Pedro Albuquerque <pedroa at unb.br>
License: GPL-2
NeedsCompilation: yes
SystemRequirements: GNU make
CRAN checks: Rlda results

Downloads:

Reference manual: Rlda.pdf
Package source: Rlda_0.1.0.tar.gz
Windows binaries: r-devel: Rlda_0.1.0.zip, r-release: Rlda_0.1.0.zip, r-oldrel: Rlda_0.1.0.zip
OS X Mavericks binaries: r-release: Rlda_0.1.0.tgz, r-oldrel: Rlda_0.1.0.tgz

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