Package: BAREB
Type: Package
Title: A Bayesian Repulsive Biclustering Model for Periodontal Data
Version: 0.1.0
Authors@R: c( person("Yuliang", "Li", email = "yli193@jhu.edu", role = c("aut", "cre")),
              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"))
            )
Description: 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>.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.2
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp
NeedsCompilation: yes
Packaged: 2020-02-29 20:09:26 UTC; yuliangli
Author: Yuliang Li [aut, cre],
  Yanxun Xu [aut],
  Dipankar Bandyopadhyay [aut],
  John Burkardt [ctb]
Maintainer: Yuliang Li <yli193@jhu.edu>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2020-03-06 17:20:03 UTC
Built: R 3.5.3; x86_64-w64-mingw32; 2020-04-22 05:44:43 UTC; windows
Archs: i386, x64
