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) .


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NEWS file for package Rlda

Rlda is an R package that estimates the Bayesian LDA model for mixed-membership clustering based on different types of data (i.e., Multinomial, Bernoulli, and Binomial entries).

Changes in version 0.2.5 2018-07-13 + Correct the Note: next used in wrong context: no loop is visible

Reference manual

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install.packages("Rlda")

0.2.6 by Pedro Albuquerque, 2 months ago


https://www.sciencedirect.com/science/article/pii/S0950705118305100


Report a bug at https://github.com/PedroBSB/Rlda/issues


Browse source code at https://github.com/cran/Rlda


Authors: Pedro Albuquerque and Denis Valle and Daijiang Li


Documentation:   PDF Manual  


GPL-2 license


Imports parallel, gtools

Depends on Rcpp, RcppProgress, doParallel, foreach, coda

Suggests knitr, MCMCpack, rmarkdown, RColorBrewer, reshape2

Linking to Rcpp, RcppArmadillo, RcppProgress

System requirements: GNU make


See at CRAN