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.

Package details

AuthorVincent Kubicki [aut], Christophe Biernacki [aut], Quentin Grimonprez [aut], Serge Iovleff [ctb], Matthieu Marbac-Lourdelle [ctb], √Čtienne Goffinet [ctb], Patrick Wieschollek [ctb] (for CppOptimizationLibrary), Tobias Wood [ctb] (for CppOptimizationLibrary), Julien Vandaele [ctb, cre]
MaintainerJulien Vandaele <julien.vandaele@inria.fr>
LicenseAGPL-3
Version4.0.6
URL https://github.com/modal-inria/MixtComp https://massiccc.lille.inria.fr/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("RMixtCompIO")

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RMixtCompIO documentation built on Nov. 20, 2020, 5:08 p.m.