Package: PUGMM 0.1.0

Giorgia Zaccaria

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>.

Authors:Giorgia Zaccaria [aut, cre], Carlo Cavicchia [aut], Lorenzo Balzotti [aut]

PUGMM_0.1.0.tar.gz
PUGMM_0.1.0.zip(r-4.5)PUGMM_0.1.0.zip(r-4.4)PUGMM_0.1.0.zip(r-4.3)
PUGMM_0.1.0.tgz(r-4.4-any)PUGMM_0.1.0.tgz(r-4.3-any)
PUGMM_0.1.0.tar.gz(r-4.5-noble)PUGMM_0.1.0.tar.gz(r-4.4-noble)
PUGMM_0.1.0.tgz(r-4.4-emscripten)PUGMM_0.1.0.tgz(r-4.3-emscripten)
PUGMM.pdf |PUGMM.html✨
PUGMM/json (API)

Peer review:

Bug tracker:https://github.com/giorgiazaccaria/pugmm/issues

On CRAN:

5 exports 2 stars 1.10 score 47 dependencies 179 downloads

Last updated 4 months agofrom:0b1a5134e8. Checks:OK: 1 WARNING: 6. Indexed: yes.

Exports:plot.pugmmpugmmpugmm_available_modelsrand.memberUCM

Dependencies:cliClusterRcodetoolscolorspacecpp11doParallelfansifarverforeachgbutilsggplot2gluegmpgtableigraphinaparcisobanditeratorskpeakslabelinglatticelhslifecyclemagrittrMASSMatrixmclustmcompanionmgcvmunsellnlmepillarpkgconfigppclustR6rbibutilsRColorBrewerRcppRcppArmadilloRdpackrlangscalestibbleutf8vctrsviridisLitewithr