A Bayesian Repulsive Biclustering Model for Periodontal Data

BAREB, a BAyesian REpulsive Biclustering model, that can simultaneously cluster the Periodontal diseases (PD) patients and their tooth sites after taking the patient- and site-level covariates into consideration. BAREB uses the determinantal point process (DPP) prior to induce diversity among different biclusters to facilitate parsimony and interpretability. Essentially, BAREB is a cluster-wise linear model based on Yuliang (2019) .


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install.packages("BAREB")

0.1.0 by Yuliang Li, 7 months ago


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


Authors: Yuliang Li [aut, cre] , Yanxun Xu [aut] , Dipankar Bandyopadhyay [aut] , John Burkardt [ctb]


Documentation:   PDF Manual  


GPL-3 license


Imports Rcpp

Linking to Rcpp, RcppArmadillo


See at CRAN