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: 4.1.5 Depends: RMixtCompUtilities (≥ 4.1.4), R (≥ 3.5.0) Imports: RMixtCompIO (≥ 4.0.4), ggplot2, plotly, scales Suggests: testthat, xml2, Rmixmod, knitr, rmarkdown Published: 2025-06-15 DOI: 10.32614/CRAN.package.RMixtComp Author: Vincent Kubicki [aut], Christophe Biernacki [aut], Quentin Grimonprez [aut, cre], Matthieu Marbac-Lourdelle [ctb], Ãtienne 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 resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4