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CRAN: Package PUGMM

PUGMM: Parsimonious Ultrametric Gaussian Mixture Models

Parsimonious Ultrametric Gaussian Mixture Models via grouped coordinate ascent (equivalent to EM) algorithm characterized by the inspection of hierarchical relationships among variables via parsimonious extended ultrametric covariance structures. The methodologies are described in Cavicchia, Vichi, Zaccaria (2024) <doi:10.1007/s11222-024-10405-9>, (2022) <doi:10.1007/s11634-021-00488-x> and (2020) <doi:10.1007/s11634-020-00400-z>.

Version: 0.1.1 Depends: R (≥ 4.0) Imports: ClusterR, doParallel, foreach, igraph, MASS, Matrix, mclust, mcompanion, ppclust Published: 2025-06-23 DOI: 10.32614/CRAN.package.PUGMM Author: Giorgia Zaccaria [aut, cre], Carlo Cavicchia [aut], Lorenzo Balzotti [aut] Maintainer: Giorgia Zaccaria <giorgia.zaccaria at unimib.it> BugReports: https://github.com/giorgiazaccaria/PUGMM/issues License: MIT + file LICENSE URL: https://github.com/giorgiazaccaria/PUGMM NeedsCompilation: no Materials: NEWS CRAN checks: PUGMM results Documentation: Downloads: Linking:

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