PUGMM: Parsimonious Ultrametric Gaussian Mixture Models

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>.

Version:	0.1.0
Depends:	R (≥ 4.0)
Imports:	ClusterR, doParallel, foreach, igraph, MASS, Matrix, mclust, mcompanion, ppclust
Published:	2024-05-10
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
CRAN checks:	PUGMM results

Documentation:

Reference manual:

PUGMM.pdf

Downloads:

Package source:	PUGMM_0.1.0.tar.gz
Windows binaries:	r-devel: PUGMM_0.1.0.zip, r-release: PUGMM_0.1.0.zip, r-oldrel: PUGMM_0.1.0.zip
macOS binaries:	r-release (arm64): PUGMM_0.1.0.tgz, r-oldrel (arm64): PUGMM_0.1.0.tgz, r-release (x86_64): PUGMM_0.1.0.tgz, r-oldrel (x86_64): PUGMM_0.1.0.tgz

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