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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>.
Getting started
Browse package contents
Package details |
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| Author | Yuliang Li [aut], Yanxun Xu [aut], Dipankar Bandyopadhyay [aut], John Burkardt [ctb], Qingyang Liu [aut, cre] |
| Maintainer | Qingyang Liu <rh8liuqy@gmail.com> |
| License | GPL-3 |
| Version | 0.1.2 |
| Package repository | View on CRAN |
| Installation |
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