Package: blockcluster
Type: Package
Title: Co-Clustering Package for Binary, Categorical, Contingency and
        Continuous Data-Sets
Version: 4.5.3
Encoding: UTF-8
Date: 2023-02-16
Authors@R: c( person("Serge", "Iovleff", role = c("aut","cre"), email = "Serge.Iovleff@stkpp.org")
            , person("Parmeet", "Singh Bhatia", role = "aut", email = "bhatia.parmeet@gmail.com")
            , person("Josselin", "Demont", role = "ctb")
            , person("Vincent", "Brault", role = "ctb", email = "Vincent.Brault@univ-grenoble-alpes.fr")
            , person("Vincent", "Kubicki", role = "ctb")
            , person("Gerard", "Goavert", role = "ctb")
            , person("Christophe", "Biernacki", role = "ctb", email = "Christophe.Biernacki@inria.fr")
            , person("Gilles", "Celeux", role = "ctb"))
Copyright: Inria
Description: Simultaneous clustering of rows and columns, usually designated by
    biclustering, co-clustering or block clustering, is an important technique
    in two way data analysis. It consists of estimating a mixture model which
    takes into account the block clustering problem on both the individual and
    variables sets. The 'blockcluster' package provides a bridge between the C++
    core library build on top of the 'STK++' library, and the R statistical
    computing environment. This package allows to co-cluster binary
    <doi:10.1016/j.csda.2007.09.007>, contingency <doi:10.1080/03610920903140197>,
    continuous <doi:10.1007/s11634-013-0161-3> and categorical data-sets
    <doi:10.1007/s11222-014-9472-2>. It also provides utility functions to
    visualize the results. This package may be useful for various applications
    in fields of Data mining, Information retrieval, Biology, computer vision
    and many more. More information about the project and comprehensive tutorial
    can be found on the link mentioned in URL.
License: GPL (>= 3)
URL: https://gitlab.inria.fr/iovleff/blockcluster
LazyLoad: yes
Depends: R (>= 3.0.2), rtkore (>= 1.5.5)
Imports: methods
LinkingTo: Rcpp
SystemRequirements: GNU make
Collate: 'coclusterStrategy.R' 'RCocluster.R' 'optionclasses.R'
        'cocluster.R' 'coclusterBinary.R' 'coclusterCategorical.R'
        'coclusterContingency.R' 'coclusterContinuous.R' 'onattach.R'
NeedsCompilation: yes
Packaged: 2023-02-17 09:54:35 UTC; iovleff
RoxygenNote: 7.1.2
Author: Serge Iovleff [aut, cre],
  Parmeet Singh Bhatia [aut],
  Josselin Demont [ctb],
  Vincent Brault [ctb],
  Vincent Kubicki [ctb],
  Gerard Goavert [ctb],
  Christophe Biernacki [ctb],
  Gilles Celeux [ctb]
Maintainer: Serge Iovleff <Serge.Iovleff@stkpp.org>
Repository: CRAN
Date/Publication: 2023-02-17 22:10:05 UTC
Built: R 4.1.3; x86_64-w64-mingw32; 2023-04-17 14:12:00 UTC; windows
Archs: i386, x64
