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
MaintainerShow author detailsSerge 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
Insights
Last 30 days
This package has been downloaded 246 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 13 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 3,301 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Sep 11, 2024 with 40 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Depends1 package
- Imports4 packages
- Suggests6 packages