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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>.

Versions across snapshots

VersionRepositoryFileSize
0.1.2 rolling linux/jammy R-4.5 PUGMM_0.1.2.tar.gz 280.4 KiB
0.1.2 rolling linux/noble R-4.5 PUGMM_0.1.2.tar.gz 281.8 KiB
0.1.2 rolling source/ R- PUGMM_0.1.2.tar.gz 49.0 KiB
0.1.2 latest linux/jammy R-4.5 PUGMM_0.1.2.tar.gz 280.4 KiB
0.1.2 latest linux/noble R-4.5 PUGMM_0.1.2.tar.gz 281.8 KiB
0.1.2 latest source/ R- PUGMM_0.1.2.tar.gz 49.0 KiB
0.1.2 2026-04-26 source/ R- PUGMM_0.1.2.tar.gz 49.0 KiB
0.1.2 2026-04-23 source/ R- PUGMM_0.1.2.tar.gz 49.0 KiB
0.1.2 2026-04-09 windows/windows R-4.5 PUGMM_0.1.2.zip 603.4 KiB
0.1.0 2025-04-20 source/ R- PUGMM_0.1.0.tar.gz 31.0 KiB

Dependencies (latest)

Imports

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