Nothing
BAREB: A Bayesian Repulsive Biclustering Model for Periodontal Data
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>.
Getting started
Browse package contents
Package details |
|
|---|---|
| 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 |
Install the latest version of this package by entering the following in R:
|
Try the BAREB package in your browser
Any scripts or data that you put into this service are public.
