RMixtCompIO: 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: 4.0.2
Imports: Rcpp, doParallel, foreach
LinkingTo: Rcpp, RcppEigen, BH
Suggests: Rmixmod, blockcluster, testthat, RInside, xml2
Published: 2019-12-16
Author: Vincent Kubicki [aut], Christophe Biernacki [aut], Quentin Grimonprez [aut, cre], Serge Iovleff [ctb], Matthieu Marbac-Lourdelle [ctb], √Čtienne Goffinet [ctb], Patrick Wieschollek [ctb] (for CppOptimizationLibrary), Tobias Wood [ctb] (for CppOptimizationLibrary)
Maintainer: Quentin Grimonprez <quentin.grimonprez at inria.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, https://massiccc.lille.inria.fr/
NeedsCompilation: yes
Materials: NEWS
CRAN checks: RMixtCompIO results


Reference manual: RMixtCompIO.pdf
Package source: RMixtCompIO_4.0.2.tar.gz
Windows binaries: r-devel: RMixtCompIO_4.0.2.zip, r-devel-gcc8: RMixtCompIO_4.0.2.zip, r-release: RMixtCompIO_4.0.2.zip, r-oldrel: RMixtCompIO_4.0.2.zip
OS X binaries: r-release: RMixtCompIO_4.0.2.tgz, r-oldrel: RMixtCompIO_4.0.2.tgz
Old sources: RMixtCompIO archive

Reverse dependencies:

Reverse imports: RMixtComp
Reverse suggests: RMixtCompUtilities


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