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). Albuquerque, Valle and Li (2019) <doi:10.1016/j.knosys.2018.10.024>.

Version:	0.2.6
Depends:	R (≥ 2.10), Rcpp (≥ 0.9.4), RcppProgress (≥ 0.1), doParallel (≥ 1.0.10), foreach (≥ 1.4.3), coda (≥ 0.19.1)
Imports:	parallel, gtools
LinkingTo:	Rcpp, RcppArmadillo, RcppProgress
Suggests:	knitr, MCMCpack, rmarkdown, RColorBrewer, reshape2
Published:	2018-12-13
Author:	Pedro Albuquerque and Denis Valle and Daijiang Li
Maintainer:	Pedro Albuquerque <pedroa at unb.br>
BugReports:	https://github.com/PedroBSB/Rlda/issues
License:	GPL-2
URL:	https://www.sciencedirect.com/science/article/pii/S0950705118305100
NeedsCompilation:	yes
SystemRequirements:	GNU make
Materials:	NEWS
CRAN checks:	Rlda results

Documentation:

Reference manual:

Rlda.pdf

Downloads:

Package source:	Rlda_0.2.6.tar.gz
Windows binaries:	r-devel: Rlda_0.2.6.zip, r-release: Rlda_0.2.6.zip, r-oldrel: Rlda_0.2.6.zip
macOS binaries:	r-release (arm64): Rlda_0.2.6.tgz, r-oldrel (arm64): Rlda_0.2.6.tgz, r-release (x86_64): Rlda_0.2.6.tgz, r-oldrel (x86_64): Rlda_0.2.6.tgz
Old sources:	Rlda archive

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