RMixtComp
Mixture Models with Heterogeneous and (Partially) Missing Data
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.
- Version4.1.4
- R versionunknown
- LicenseAGPL-3
- Needs compilation?No
- Last release06/18/2023
Documentation
Team
Quentin Grimonprez
Serge Iovleff
Show author detailsRolesContributorChristophe Biernacki
Show author detailsRolesAuthorVincent Kubicki
Show author detailsRolesAuthorMatthieu Marbac-Lourdelle
Show author detailsRolesContributorÉtienne Goffinet
Show author detailsRolesContributorJulien Vandaele
Show author detailsRolesContributor
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- Depends1 package
- Imports4 packages
- Suggests6 packages