PUGMM
0.1.2Parsimonious Ultrametric Gaussian Mixture Models
Overview
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.
Install
Health
- OK2026-04-2214 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-04-1813 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 75%
Downloads
Repository
Stars over time
Forks over time
PRs over time
Repository practices
Checks run against github.com/giorgiazaccaria/pugmm on 2026-07-19.
No development-tooling practices detected in the upstream repository.
Dependencies
Nothing depends on this yet.
Code & Tests
Datasets
People & History
3 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 0.1.2Latest
- 0.1.12025-06-23 · diff ↗
- RR 4.5.0 released · 2025-04-11
- 0.1.02024-05-10
- RR 4.4.0 released · 2024-04-24
Package metadata
- First published
- 2024-05-10
- Total releases
- 3 / 2 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 4.0
- Bundled data
- 4.0 KB / 2 files
- Download size
- 49 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet