Package: PUGMM
Version: 0.1.0
Title: Parsimonious Ultrametric Gaussian Mixture Models
Description: Finite Gaussian mixture models with parsimonious extended ultrametric covariance structures estimated via a grouped coordinate ascent algorithm, which is equivalent to the Expectation-Maximization algorithm. The thirteen ultrametric covariance structures implemented allow for the inspection of different hierarchical relationships among variables. The estimation of an ultrametric correlation matrix is included as a function. The methodologies are described in Cavicchia, Vichi, Zaccaria (2024) <doi:10.1007/s11222-024-10405-9>, Cavicchia, Vichi, Zaccaria (2022) <doi:10.1007/s11634-021-00488-x> and Cavicchia, Vichi, Zaccaria (2020) <doi:10.1007/s11634-020-00400-z>.
Authors@R: 
    c(person("Giorgia", "Zaccaria", , "giorgia.zaccaria@unimib.it", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-9119-9104")),
    person("Carlo", "Cavicchia", , "cavicchia@ese.eur.nl", role = c("aut"), comment = c(ORCID = "0000-0003-1816-3521")),
    person("Lorenzo", "Balzotti", , "lorenzo.balzotti@uniroma1.it", role = c("aut"), comment = c(ORCID = "0000-0001-6191-9801")))
Depends: R (>= 4.0)
Imports: ClusterR, doParallel, foreach, igraph, MASS, Matrix, mclust,
        mcompanion, ppclust
License: MIT + file LICENSE
URL: https://github.com/giorgiazaccaria/PUGMM
BugReports: https://github.com/giorgiazaccaria/PUGMM/issues
NeedsCompilation: no
LazyData: yes
Encoding: UTF-8
RoxygenNote: 7.3.1
Maintainer: Giorgia Zaccaria <giorgia.zaccaria@unimib.it>
Packaged: 2024-05-08 15:10:20 UTC; GZ082042
Author: Giorgia Zaccaria [aut, cre] (<https://orcid.org/0000-0001-9119-9104>),
  Carlo Cavicchia [aut] (<https://orcid.org/0000-0003-1816-3521>),
  Lorenzo Balzotti [aut] (<https://orcid.org/0000-0001-6191-9801>)
Repository: CRAN
Date/Publication: 2024-05-10 13:40:02 UTC
Built: R 4.2.3; ; 2024-05-10 16:18:23 UTC; unix
