BAREB: 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) <arXiv:1902.05680>.

Getting started

Package details

AuthorYuliang Li [aut, cre], Yanxun Xu [aut], Dipankar Bandyopadhyay [aut], John Burkardt [ctb]
MaintainerYuliang Li <>
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the BAREB package in your browser

Any scripts or data that you put into this service are public.

BAREB documentation built on March 26, 2020, 7:36 p.m.