BAREB: A Bayesian Repulsive Biclustering Model for Periodontal Data

Simultaneously clusters 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 (2020) <doi:10.1002/sim.8536>.

Version:	0.1.2
Depends:	R (≥ 3.5.0)
Imports:	Rcpp
LinkingTo:	Rcpp, RcppArmadillo
Published:	2024-12-18
DOI:	10.32614/CRAN.package.BAREB
Author:	Yuliang Li [aut], Yanxun Xu [aut], Dipankar Bandyopadhyay [aut], John Burkardt [ctb], Qingyang Liu [aut, cre]
Maintainer:	Qingyang Liu <rh8liuqy at gmail.com>
License:	GPL-3
NeedsCompilation:	yes
CRAN checks:	BAREB results

Documentation:

Reference manual:

BAREB.pdf

Downloads:

Package source:	BAREB_0.1.2.tar.gz
Windows binaries:	r-devel: BAREB_0.1.2.zip, r-release: BAREB_0.1.2.zip, r-oldrel: BAREB_0.1.2.zip
macOS binaries:	r-release (arm64): BAREB_0.1.2.tgz, r-oldrel (arm64): BAREB_0.1.2.tgz, r-release (x86_64): BAREB_0.1.2.tgz, r-oldrel (x86_64): BAREB_0.1.2.tgz
Old sources:	BAREB archive

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