Package: MatTransMix Version: 0.1.19 Date: 2026-10-13 Title: Clustering with Matrix Gaussian and Matrix Transformation Mixture Models Authors@R: c(person("Xuwen", "Zhu", role = c("aut", "cre"), email = "xzhu20@ua.edu"), person("Volodymyr", "Melnykov", role = "aut"), person("Shuchismita", "Sarkar", role = "ctb"), person("Michael", "Hutt", role = c("ctb", "cph")), person("Stephen", "Moshier", role = c("ctb", "cph")), person("Rouben", "Rostamian", role = c("ctb", "cph")), person("Carl Edward", "Rasmussen", role = c("ctb", "cph")), person("Dianne", "Cook", role = c("ctb", "cph"))) Depends: R (>= 3.0.0) LazyLoad: yes LazyData: no Description: 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", . License: GPL (>= 2) Imports: mvtnorm Packaged: 2026-10-30 21:05:02 UTC; root 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 NeedsCompilation: yes Repository: https://cran.r-universe.dev Date/Publication: 2026-10-30 19:31:46 UTC RemoteUrl: https://github.com/cran/MatTransMix RemoteRef: HEAD RemoteSha: a858439e7881460c4c97352a126d616ac87f471e