ContaminatedMixt
Clustering and Classification with the Contaminated Normal
Fits mixtures of multivariate contaminated normal distributions (with eigen-decomposed scale matrices) via the expectation conditional-maximization algorithm under a clustering or classification paradigm. Methods are described in Antonio Punzo, Angelo Mazza, and Paul D McNicholas (2018) doi:10.18637/jss.v085.i10.
- Version1.3.8
- R version≥ 2.15.0
- LicenseGPL-2
- Needs compilation?Yes
- ContaminatedMixt citation info
- Last release05/05/2023
Documentation
Team
Angelo Mazza
Paul D. McNicholas
Antonio Punzo
Insights
Last 30 days
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Last 365 days
This package has been downloaded 5,640 times in the last 365 days. That's a lot of interest! Someone might even write a blog post about it. The day with the most downloads was Nov 11, 2024 with 117 downloads.
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Dependencies
- Imports5 packages
- Reverse Imports1 package