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.

Package details

AuthorVincent 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)
MaintainerQuentin Grimonprez <[email protected]>
LicenseAGPL-3
Version4.0.2
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 Dec. 16, 2019, 5:43 p.m.