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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>.

Version: 0.1.18
Depends: R (≥ 3.0.0)
Imports: mvtnorm
Published: 2025-01-29
DOI: 10.32614/CRAN.package.MatTransMix
Author: Xuwen Zhu [aut, cre], Volodymyr Melnykov [aut], Shuchismita Sarkar [ctb], Michael Hutt [ctb, cph], Stephen Moshier [ctb, cph], Rouben Rostamian [ctb, cph], Carl Edward Rasmussen [ctb, cph], Dianne Cook [ctb, cph]
Maintainer: Xuwen Zhu <xzhu20 at ua.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: MatTransMix citation info
Materials: NEWS
CRAN checks: MatTransMix results

Documentation:

Reference manual: MatTransMix.pdf

Downloads:

Package source: MatTransMix_0.1.18.tar.gz
Windows binaries: r-devel: not available, r-release: MatTransMix_0.1.18.zip, r-oldrel: not available
macOS binaries: r-release (arm64): MatTransMix_0.1.18.tgz, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available
Old sources: MatTransMix archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.