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CRAN: Package BAREB

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: Downloads: Linking:

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