Package: RMixtComp
Type: Package
Title: Mixture Models with Heterogeneous and (Partially) Missing Data
Version: 4.0.2
Date: 2019-09-16
Authors@R: c(person("Vincent", "Kubicki", role = "aut"),
             person("Christophe", "Biernacki", role = "aut"),
             person("Quentin", "Grimonprez", role = c("aut", "cre"), email = "quentin.grimonprez@inria.fr"),
             person("Matthieu", "Marbac-Lourdelle", role = "ctb"),
             person("Étienne", "Goffinet", role = "ctb"),
             person("Serge", "Iovleff", role = "ctb"))
Copyright: Inria - Université de Lille - CNRS
License: AGPL-3
Description: Mixture Composer <https://github.com/modal-inria/MixtComp> is a project to build mixture models with
    heterogeneous data sets and partially missing data management. 
    It includes 8 models for real, categorical, counting, functional and ranking data.
URL: https://github.com/modal-inria/MixtComp,
        https://massiccc.lille.inria.fr/
BugReports: https://github.com/modal-inria/MixtComp/issues
Imports: RMixtCompIO, ggplot2, plotly
Depends: R (>= 2.10), RMixtCompUtilities
Suggests: testthat, xml2, Rmixmod, blockcluster
RoxygenNote: 6.1.1
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2019-09-16 14:53:06 UTC; grimonprez
Author: Vincent Kubicki [aut],
  Christophe Biernacki [aut],
  Quentin Grimonprez [aut, cre],
  Matthieu Marbac-Lourdelle [ctb],
  Étienne Goffinet [ctb],
  Serge Iovleff [ctb]
Maintainer: Quentin Grimonprez <quentin.grimonprez@inria.fr>
Repository: CRAN
Date/Publication: 2019-09-16 15:30:03 UTC
