Clustering with Matrix Gaussian and Matrix Transformation Mixture Models R package MatTransMix version 0.1.18 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>. Software Depends: R (>= 3.0.0) Imports: mvtnorm Xuwen Zhu <xzhu20@ua.edu> Comprehensive R Archive Network (CRAN) 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] GPL (>= 2) 2025-01-29 application/tgz https://CRAN.R-project.org/package=MatTransMix doi:10.32614/CRAN.package.MatTransMix