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.">

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

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
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:
In views: MissingData
CRAN checks: RMixtCompIO results

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