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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: not available, 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

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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