Package: RMixtComp
Type: Package
Title: Mixture Models with Heterogeneous and (Partially) Missing Data
Version: 4.1.5
Date: 2025-06-15
Authors@R: c(person("Vincent", "Kubicki", role = "aut"),
             person("Christophe", "Biernacki", role = "aut"),
             person("Quentin", "Grimonprez", role = c("aut", "cre"), email = "quentingrim@yahoo.fr"),
             person("Matthieu", "Marbac-Lourdelle", role = "ctb"),
             person("Étienne", "Goffinet", role = "ctb"),
             person("Serge", "Iovleff", role = "ctb"),
             person("Julien", "Vandaele", role = "ctb", email = "julien.vandaele@inria.fr"))
Copyright: Inria - Université de Lille - CNRS
License: AGPL-3
Description: Mixture Composer (Biernacki (2015)
        <https://inria.hal.science/hal-01253393v1>) is a project to
        perform clustering using mixture models with heterogeneous data
        and partially missing data. Mixture models are fitted using a
        SEM algorithm. It includes 8 models for real, categorical,
        counting, functional and ranking data.
URL: https://github.com/modal-inria/MixtComp
BugReports: https://github.com/modal-inria/MixtComp/issues
Imports: RMixtCompIO(>= 4.0.4), ggplot2, plotly, scales, rlang
Depends: RMixtCompUtilities (>= 4.1.4), R (>= 3.5.0)
Suggests: testthat, xml2, Rmixmod, knitr, rmarkdown
RoxygenNote: 7.3.3
Encoding: UTF-8
VignetteBuilder: knitr
Config/pak/sysreqs: cmake make libicu-dev libuv1-dev libssl-dev
Repository: https://modal-inria.r-universe.dev
Date/Publication: 2026-05-21 07:57:45 UTC
RemoteUrl: https://github.com/modal-inria/mixtcomp
RemoteRef: HEAD
RemoteSha: d0fc7e870c94dae5e78bf6ee6277db299754c729
RemoteSubdir: RMixtComp
NeedsCompilation: no
Packaged: 2026-06-20 06:12:08 UTC; root
Author: Vincent Kubicki [aut],
  Christophe Biernacki [aut],
  Quentin Grimonprez [aut, cre],
  Matthieu Marbac-Lourdelle [ctb],
  Étienne Goffinet [ctb],
  Serge Iovleff [ctb],
  Julien Vandaele [ctb]
Maintainer: Quentin Grimonprez <quentingrim@yahoo.fr>