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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 |
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 |
Reference manual: | PUGMM.pdf |
Package source: | PUGMM_0.1.1.tar.gz |
Windows binaries: | r-devel: PUGMM_0.1.1.zip, r-release: PUGMM_0.1.1.zip, r-oldrel: PUGMM_0.1.1.zip |
macOS binaries: | r-release (arm64): PUGMM_0.1.1.tgz, r-oldrel (arm64): PUGMM_0.1.1.tgz, r-release (x86_64): PUGMM_0.1.1.tgz, r-oldrel (x86_64): PUGMM_0.1.1.tgz |
Old sources: | PUGMM archive |
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