Package: cmbClust
Version: 0.0.1
Date: 2022-10-31
Title: Conditional Mixture Modeling and Model-Based Clustering
Description: Conditional mixture model fitted via EM (Expectation Maximization) algorithm for model-based clustering, including parsimonious procedure, optimal conditional order exploration, and visualization.
Authors@R: c(person("Yang", "Wang", role =  c("aut", "cre"),
                       email = "wangy4@cofc.edu"),
             person("Volodymyr", "Melnykov", role = "aut"),
             person("Stephen", "Moshier", role = "ctb",
                    comment = "eigenvalue calculations in c"),
             person("Rouben", "Rostamian", role = "ctb",
                     comment = "memory allocation in c")
            )
Depends: R (>= 3.5.0)
Imports: stats, parallel
License: GPL (>= 2)
Repository: CRAN
LazyLoad: yes
LazyData: no
NeedsCompilation: yes
Packaged: 2022-11-02 21:24:12 UTC; wangy4
Author: Yang Wang [aut, cre],
  Volodymyr Melnykov [aut],
  Stephen Moshier [ctb] (eigenvalue calculations in c),
  Rouben Rostamian [ctb] (memory allocation in c)
Maintainer: Yang Wang <wangy4@cofc.edu>
Date/Publication: 2022-11-03 16:10:13 UTC
Built: R 4.4.1; aarch64-apple-darwin20; 2025-01-24 22:37:06 UTC; unix
Archs: cmbClust.so.dSYM
