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: | 4.1.0 |
| Depends: | R (≥ 2.10), RMixtCompUtilities (≥ 4.1.0) |
| Imports: | RMixtCompIO, ggplot2, plotly, scales |
| Suggests: | testthat, xml2, Rmixmod, blockcluster, knitr |
| Published: | 2020-01-07 |
| 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: |
Data Format MixtComp Object |
| Package source: | RMixtComp_4.1.0.tar.gz |
| Windows binaries: | r-prerelease: RMixtComp_4.1.0.zip, r-release: RMixtComp_4.1.0.zip, r-oldrel: RMixtComp_4.1.0.zip |
| macOS binaries: | r-prerelease: RMixtComp_4.1.0.tgz, r-release: RMixtComp_4.1.0.tgz, r-oldrel: RMixtComp_4.1.0.tgz |
| Old sources: | RMixtComp archive |
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