Package: MatTransMix
Version: 0.1.18
Date: 2025-1-6
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",
        <doi:10.1007/s00357-021-09401-9>.
License: GPL (>= 2)
Imports: mvtnorm
Packaged: 2026-07-06 10:34:56 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 <xzhu20@ua.edu>
NeedsCompilation: yes
Repository: https://xuwenzhu20.r-universe.dev
Date/Publication: 2025-01-29 17:20:08 UTC
RemoteUrl: https://github.com/cran/MatTransMix
RemoteRef: HEAD
RemoteSha: 0027b07c028e6108a4c1d93b89e4107897d7d143