Package: MatTransMix
Version: 0.1.16
Date: 2023-04-27
Title: Clustering with Matrix Gaussian and Matrix Transformation
        Mixture Models
Authors@R: c(person("Xuwen", "Zhu", role = c("aut", "cre"),
                    email = "xzhu20@cba.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. 
License: GPL (>= 2)
Imports: mvtnorm
Packaged: 2023-04-28 17:55:46 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@cba.ua.edu>
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2023-04-30 10:50:09 UTC
Built: R 4.2.0; x86_64-apple-darwin17.0; 2023-05-01 11:59:40 UTC; unix
Archs: MatTransMix.so.dSYM
