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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>.

Versions across snapshots

VersionRepositoryFileSize
1.3.8 rolling linux/jammy R-4.5 ContaminatedMixt_1.3.8.tar.gz 158.7 KiB
1.3.8 rolling linux/noble R-4.5 ContaminatedMixt_1.3.8.tar.gz 161.7 KiB
1.3.8 rolling source/ R- ContaminatedMixt_1.3.8.tar.gz 46.1 KiB
1.3.8 latest linux/jammy R-4.5 ContaminatedMixt_1.3.8.tar.gz 158.7 KiB
1.3.8 latest linux/noble R-4.5 ContaminatedMixt_1.3.8.tar.gz 161.7 KiB
1.3.8 latest source/ R- ContaminatedMixt_1.3.8.tar.gz 46.1 KiB
1.3.8 2026-04-26 source/ R- ContaminatedMixt_1.3.8.tar.gz 46.1 KiB
1.3.8 2026-04-23 source/ R- ContaminatedMixt_1.3.8.tar.gz 46.1 KiB
1.3.8 2026-04-09 windows/windows R-4.5 ContaminatedMixt_1.3.8.zip 167.2 KiB
1.3.8 2025-04-20 source/ R- ContaminatedMixt_1.3.8.tar.gz 46.1 KiB

Dependencies (latest)

Imports