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Mixture Composer (Biernacki (2015) <https://inria.hal.science/hal-01253393v1>) is a project to perform clustering using mixture models with heterogeneous data and partially missing data. Mixture models are fitted using a SEM algorithm. It includes 8 models for real, categorical, counting, functional and ranking data.
| Version: | 4.1.4 |
| Depends: | RMixtCompUtilities (≥ 4.1.4), R (≥ 3.5.0) |
| Imports: | RMixtCompIO (≥ 4.0.4), ggplot2, plotly, scales |
| Suggests: | testthat, xml2, Rmixmod, knitr, ClusVis, rmarkdown |
| Published: | 2023-06-18 |
| DOI: | 10.32614/CRAN.package.RMixtComp |
| Author: | Vincent Kubicki [aut], Christophe Biernacki [aut], Quentin Grimonprez [aut, cre], Matthieu Marbac-Lourdelle [ctb], Étienne Goffinet [ctb], Serge Iovleff [ctb], Julien Vandaele [ctb] |
| Maintainer: | Quentin Grimonprez <quentingrim at yahoo.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 |
| NeedsCompilation: | no |
| Materials: | NEWS |
| In views: | Cluster, 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 used in RMixtComp Overview of MixtComp Object |
| Package source: | RMixtComp_4.1.4.tar.gz |
| Windows binaries: | r-devel: RMixtComp_4.1.4.zip, r-release: RMixtComp_4.1.4.zip, r-oldrel: RMixtComp_4.1.4.zip |
| macOS binaries: | r-release (arm64): RMixtComp_4.1.4.tgz, r-oldrel (arm64): RMixtComp_4.1.4.tgz, r-release (x86_64): RMixtComp_4.1.4.tgz, r-oldrel (x86_64): RMixtComp_4.1.4.tgz |
| Old sources: | RMixtComp archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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