Package: Rlda
Type: Package
Title: Bayesian LDA for Mixed-Membership Clustering Analysis
Version: 0.2.6
Author: Pedro Albuquerque and Denis Valle and Daijiang Li
URL:
        https://www.sciencedirect.com/science/article/pii/S0950705118305100
Maintainer: Pedro Albuquerque <pedroa@unb.br>
BugReports: https://github.com/PedroBSB/Rlda/issues
Description: 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>.
License: GPL-2
LazyData: TRUE
Depends: R (>= 2.10), Rcpp (>= 0.9.4), RcppProgress (>= 0.1),
        doParallel (>= 1.0.10), foreach (>= 1.4.3), coda (>= 0.19.1)
LinkingTo: Rcpp, RcppArmadillo, RcppProgress
Imports: parallel, gtools
SystemRequirements: GNU make
Suggests: knitr, MCMCpack, rmarkdown, RColorBrewer, reshape2
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2018-12-13 11:53:36 UTC; Pedro Albuquerque
Repository: CRAN
Date/Publication: 2018-12-13 14:00:07 UTC
Built: R 3.5.3; x86_64-w64-mingw32; 2020-04-22 06:17:04 UTC; windows
Archs: i386, x64
