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 |
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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 |
Documentation:
Downloads:
Reverse dependencies:
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