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


Reference manual: Rlda.pdf
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
OS X binaries: r-release: Rlda_0.2.6.tgz, r-oldrel: Rlda_0.2.6.tgz
Old sources: Rlda archive


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