Package: BAREB
Type: Package
Title: A Bayesian Repulsive Biclustering Model for Periodontal Data
Version: 0.1.2
Authors@R: c( person("Yuliang", "Li", email = "yli193@jhu.edu", role = c("aut")),
              person("Yanxun", "Xu", email = "yxu.jhu@gmail.com", role = c("aut")),
              person("Dipankar", "Bandyopadhyay", email = "bandyopd@gmail.com", role = c("aut")),
              person("John", "Burkardt", email = "burkardt@vt.edu", role = c("ctb")),
              person("Qingyang", "Liu", email = "rh8liuqy@gmail.com", role = c("aut", "cre"))
            )
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>.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.2
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp
NeedsCompilation: yes
Depends: R (>= 3.5.0)
Repository: CRAN
Packaged: 2024-12-18 01:27:43 UTC; kevin_liu
Author: Yuliang Li [aut],
  Yanxun Xu [aut],
  Dipankar Bandyopadhyay [aut],
  John Burkardt [ctb],
  Qingyang Liu [aut, cre]
Maintainer: Qingyang Liu <rh8liuqy@gmail.com>
Date/Publication: 2024-12-18 16:10:08 UTC
Built: R 4.5.2; x86_64-w64-mingw32; 2026-01-13 15:05:05 UTC; windows
Archs: x64
