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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.2 |
rolling linux/jammy R-4.5 | BAREB_0.1.2.tar.gz |
609.6 KiB |
0.1.2 |
rolling linux/noble R-4.5 | BAREB_0.1.2.tar.gz |
622.2 KiB |
0.1.2 |
rolling source/ R- | BAREB_0.1.2.tar.gz |
371.8 KiB |
0.1.2 |
latest linux/jammy R-4.5 | BAREB_0.1.2.tar.gz |
609.6 KiB |
0.1.2 |
latest linux/noble R-4.5 | BAREB_0.1.2.tar.gz |
622.2 KiB |
0.1.2 |
latest source/ R- | BAREB_0.1.2.tar.gz |
371.8 KiB |
0.1.2 |
2026-04-26 source/ R- | BAREB_0.1.2.tar.gz |
371.8 KiB |
0.1.2 |
2026-04-23 source/ R- | BAREB_0.1.2.tar.gz |
371.8 KiB |
0.1.2 |
2026-04-09 windows/windows R-4.5 | BAREB_0.1.2.zip |
1.0 MiB |
0.1.2 |
2025-04-20 source/ R- | BAREB_0.1.2.tar.gz |
371.8 KiB |