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RMixtCompIO: Minimal Interface of the C++ 'MixtComp' Library for Mixture Models with Heterogeneous and (Partially) Missing Data

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 models for real, categorical, counting, functional and ranking data. This package contains the minimal R interface of the C++ 'MixtComp' library.

Version: 4.0.11
Imports: Rcpp, doParallel, foreach
LinkingTo: Rcpp, RcppEigen, BH
Suggests: Rmixmod, testthat, xml2
Published: 2023-10-03
DOI: 10.32614/CRAN.package.RMixtCompIO
Author: Vincent Kubicki [aut], Christophe Biernacki [aut], Quentin Grimonprez [aut, cre], Serge Iovleff [ctb], Matthieu Marbac-Lourdelle [ctb], Étienne Goffinet [ctb], Patrick Wieschollek [ctb] (for CppOptimizationLibrary), Tobias Wood [ctb] (for CppOptimizationLibrary), Julien Vandaele [ctb]
Maintainer: Quentin Grimonprez <quentingrim at yahoo.fr>
BugReports: https://github.com/modal-inria/MixtComp/issues
License: AGPL-3
Copyright: Inria - Université de Lille - CNRS; Patrick Wieschollek, Tobias Wood & the respective contributors for CppOptimizationLibrary
RMixtCompIO copyright details
URL: https://github.com/modal-inria/MixtComp
NeedsCompilation: yes
Materials: NEWS
In views: MissingData
CRAN checks: RMixtCompIO results

Documentation:

Reference manual: RMixtCompIO.pdf

Downloads:

Package source: RMixtCompIO_4.0.11.tar.gz
Windows binaries: r-devel: RMixtCompIO_4.0.11.zip, r-release: RMixtCompIO_4.0.11.zip, r-oldrel: RMixtCompIO_4.0.11.zip
macOS binaries: r-release (arm64): RMixtCompIO_4.0.11.tgz, r-oldrel (arm64): RMixtCompIO_4.0.11.tgz, r-release (x86_64): RMixtCompIO_4.0.11.tgz, r-oldrel (x86_64): RMixtCompIO_4.0.11.tgz
Old sources: RMixtCompIO archive

Reverse dependencies:

Reverse imports: RMixtComp
Reverse suggests: RMixtCompUtilities

Linking:

Please use the canonical form https://CRAN.R-project.org/package=RMixtCompIO to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.