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 8 models for real, categorical, counting, functional and ranking data.
Version: | 4.1.2 |
Depends: | R (≥ 2.10), RMixtCompUtilities (≥ 4.1.2) |
Imports: | RMixtCompIO (≥ 4.0.4), ggplot2, plotly, scales |
Suggests: | testthat, xml2, Rmixmod, blockcluster, knitr, ClusVis, markdown |
Published: | 2020-06-25 |
Author: | Vincent Kubicki [aut], Christophe Biernacki [aut], Quentin Grimonprez [aut, cre], Matthieu Marbac-Lourdelle [ctb], Étienne Goffinet [ctb], Serge Iovleff [ctb] |
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 |
URL: | https://github.com/modal-inria/MixtComp, https://massiccc.lille.inria.fr/ |
NeedsCompilation: | no |
Materials: | NEWS |
In views: | MissingData |
CRAN checks: | RMixtComp results |
Reference manual: | RMixtComp.pdf |
Vignettes: |
Using ClusVis with RMixtComp Output for Visualization Using RMixtComp with mixed and missing data Data Format MixtComp Object |
Package source: | RMixtComp_4.1.2.tar.gz |
Windows binaries: | r-devel: RMixtComp_4.1.2.zip, r-release: RMixtComp_4.1.2.zip, r-oldrel: RMixtComp_4.1.2.zip |
macOS binaries: | r-release: RMixtComp_4.1.2.tgz, r-oldrel: RMixtComp_4.1.2.tgz |
Old sources: | RMixtComp archive |
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