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BAREB, a BAyesian REpulsive Biclustering model, that can simultaneously cluster 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 (2019) <arXiv:1902.05680>.
Package details |
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Author | Yuliang Li [aut, cre], Yanxun Xu [aut], Dipankar Bandyopadhyay [aut], John Burkardt [ctb] |
Maintainer | Yuliang Li <yli193@jhu.edu> |
License | GPL-3 |
Version | 0.1.0 |
Package repository | View on CRAN |
Installation |
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