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MatTransMix

Clustering with Matrix Gaussian and Matrix Transformation Mixture Models

Provides matrix Gaussian mixture models, matrix transformation mixture models and their model-based clustering results. The parsimonious models of the mean matrices and variance covariance matrices are implemented with a total of 196 variations. For more information, please check: Xuwen Zhu, Shuchismita Sarkar, and Volodymyr Melnykov (2021), "MatTransMix: an R package for matrix model-based clustering and parsimonious mixture modeling", <doi:10.1007/s00357-021-09401-9>.

Versions across snapshots

VersionRepositoryFileSize
0.1.18 rolling linux/jammy R-4.5 MatTransMix_0.1.18.tar.gz 433.7 KiB
0.1.18 rolling linux/noble R-4.5 MatTransMix_0.1.18.tar.gz 428.5 KiB
0.1.18 rolling source/ R- MatTransMix_0.1.18.tar.gz 318.2 KiB
0.1.18 latest linux/jammy R-4.5 MatTransMix_0.1.18.tar.gz 433.7 KiB
0.1.18 latest linux/noble R-4.5 MatTransMix_0.1.18.tar.gz 428.5 KiB
0.1.18 latest source/ R- MatTransMix_0.1.18.tar.gz 318.2 KiB
0.1.18 2026-04-26 source/ R- MatTransMix_0.1.18.tar.gz 318.2 KiB
0.1.18 2026-04-23 source/ R- MatTransMix_0.1.18.tar.gz 318.2 KiB
0.1.18 2026-04-09 windows/windows R-4.5 MatTransMix_0.1.18.zip 453.0 KiB
0.1.18 2025-04-20 source/ R- MatTransMix_0.1.18.tar.gz 318.2 KiB

Dependencies (latest)

Imports