Package: rhcoclust
Title: Robust Hierarchical Co-Clustering to Identify Significant
        Co-Cluster
Version: 2.0.0
Authors@R: 
  c(person("Md. Bahadur",
           "Badsha",
           role = c("aut", "cre"),
           email = "mbbadshar@gmail.com"),
    person("Mohammad Nazmol",
           "Hasan",
           role = "aut"),
    person("Md. Nurul Haque",
           "Mollah",
            role = "aut"))
Description: Here we performs robust hierarchical co-clustering between row and column entities of a data matrix in 
             absence and presence of outlying observations. It can be used to explore important co-clusters consisting of  
             important samples and their regulatory significant features. Please see Hasan, Badsha and Mollah (2020) 
             <doi:10.1101/2020.05.13.094946>.
License: GPL (>= 2)
Depends: R (>= 3.5.0)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Imports: fields, grDevices, graphics, igraph, stats
RoxygenNote: 7.1.1
Packaged: 2023-01-28 03:48:19 UTC; mdbadsha
Author: Md. Bahadur Badsha [aut, cre],
  Mohammad Nazmol Hasan [aut],
  Md. Nurul Haque Mollah [aut]
Maintainer: Md. Bahadur Badsha <mbbadshar@gmail.com>
Repository: CRAN
Date/Publication: 2023-01-29 03:40:02 UTC
Built: R 4.6.0; ; 2026-04-26 04:40:25 UTC; unix
