MixAll
Clustering and Classification using Model-Based Mixture Models
Algorithms and methods for model-based clustering and classification. It supports various types of data: continuous, categorical and counting and can handle mixed data of these types. It can fit Gaussian (with diagonal covariance structure), gamma, categorical and Poisson models. The algorithms also support missing values.
- Version1.5.16
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Reference manual
- Last release05/15/2024
Documentation
Team
Serge Iovleff
Parmeet Bathia
Show author detailsRolesContributor
Insights
Last 30 days
This package has been downloaded 591 times in the last 30 days. Not bad! The download count is somewhere between 'small-town buzz' and 'moderate academic conference'. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 5 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 7,379 times in the last 365 days. A solid achievement! Enough downloads to get noticed at department meetings. The day with the most downloads was Oct 23, 2024 with 74 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
- Linking To2 packages