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PUGMM  

Parsimonious Ultrametric Gaussian Mixture Models
View on CRAN: Click here


Download and install PUGMM package within the R console
Install from CRAN:
install.packages("PUGMM")

Install from Github:
library("remotes")
install_github("cran/PUGMM")

Install by package version:
library("remotes")
install_version("PUGMM", "0.1.0")



Attach the package and use:
library("PUGMM")
Maintained by
Giorgia Zaccaria
[Scholar Profile | Author Map]
First Published: 2024-05-10
Latest Update: 2024-05-10
Description:
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>.
How to cite:
Giorgia Zaccaria (2024). PUGMM: Parsimonious Ultrametric Gaussian Mixture Models. R package version 0.1.0, https://cran.r-project.org/web/packages/PUGMM. Accessed 01 May. 2025.
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Complete documentation for PUGMM
Functions, R codes and Examples using the PUGMM R package
Full PUGMM package functions and examples
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