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 |
macOS binaries: | r-release: Rlda_0.2.6.tgz, r-oldrel: Rlda_0.2.6.tgz |
Old sources: | Rlda archive |
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