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>.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | Rcpp |
| LinkingTo: | Rcpp, RcppArmadillo |
| Published: | 2020-03-06 |
| Author: | Yuliang Li [aut, cre], Yanxun Xu [aut], Dipankar Bandyopadhyay [aut], John Burkardt [ctb] |
| Maintainer: | Yuliang Li <yli193 at jhu.edu> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| CRAN checks: | BAREB results |
| Reference manual: | BAREB.pdf |
| Package source: | BAREB_0.1.0.tar.gz |
| Windows binaries: | r-devel: BAREB_0.1.0.zip, r-release: BAREB_0.1.0.zip, r-oldrel: BAREB_0.1.0.zip |
| macOS binaries: | r-release: BAREB_0.1.0.tgz, r-oldrel: BAREB_0.1.0.tgz |
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