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BAREB  

A Bayesian Repulsive Biclustering Model for Periodontal Data
View on CRAN: Click here


Download and install BAREB package within the R console
Install from CRAN:
install.packages("BAREB")

Install from Github:
library("remotes")
install_github("cran/BAREB")

Install by package version:
library("remotes")
install_version("BAREB", "0.1.2")



Attach the package and use:
library("BAREB")
Maintained by
Qingyang Liu
[Scholar Profile | Author Map]
First Published: 2020-03-06
Latest Update: 2024-12-18
Description:
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>.
How to cite:
Qingyang Liu (2020). BAREB: A Bayesian Repulsive Biclustering Model for Periodontal Data. R package version 0.1.2, https://cran.r-project.org/web/packages/BAREB. Accessed 03 May. 2025.
Previous versions and publish date:
0.1.0 (2020-03-06 18:20)
Other packages that cited BAREB R package
View BAREB citation profile
Other R packages that BAREB depends, imports, suggests or enhances
Complete documentation for BAREB
Functions, R codes and Examples using the BAREB R package
Full BAREB package functions and examples
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