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 |
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