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MixMatrix

Classification with Matrix Variate Normal and t Distributions

Provides sampling and density functions for matrix variate normal, t, and inverted t distributions; ML estimation for matrix variate normal and t distributions using the EM algorithm, including some restrictions on the parameters; and classification by linear and quadratic discriminant analysis for matrix variate normal and t distributions described in Thompson et al. (2019) <doi:10.1080/10618600.2019.1696208>. Performs clustering with matrix variate normal and t mixture models.

Versions across snapshots

VersionRepositoryFileSize
0.2.8 rolling linux/jammy R-4.5 MixMatrix_0.2.8.tar.gz 350.1 KiB
0.2.8 rolling linux/noble R-4.5 MixMatrix_0.2.8.tar.gz 357.1 KiB
0.2.8 rolling source/ R- MixMatrix_0.2.8.tar.gz 175.1 KiB
0.2.8 latest linux/jammy R-4.5 MixMatrix_0.2.8.tar.gz 350.1 KiB
0.2.8 latest linux/noble R-4.5 MixMatrix_0.2.8.tar.gz 357.1 KiB
0.2.8 latest source/ R- MixMatrix_0.2.8.tar.gz 175.1 KiB
0.2.8 2026-04-26 source/ R- MixMatrix_0.2.8.tar.gz 175.1 KiB
0.2.8 2026-04-23 source/ R- MixMatrix_0.2.8.tar.gz 175.1 KiB
0.2.8 2026-04-09 windows/windows R-4.5 MixMatrix_0.2.8.zip 769.3 KiB
0.2.8 2025-04-20 source/ R- MixMatrix_0.2.8.tar.gz 175.1 KiB

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