Simplex-Structured Matrix Factorisation for Metabolomics Analysis
Overview
Provides a framework to perform soft clustering using simplex-structured matrix factorisation (SSMF). The package contains a set of functions for determining the optimal number of prototypes, the optimal algorithmic parameters, the estimation confidence intervals and the diversity of clusters. Abdolali, Maryam & Gillis, Nicolas (2020) doi:10.1137/20M1354982.
Install
Health
- OK13 OK2026-09-08
- ERROR12 OK, 1 ERROR2026-09-07
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 12
- Examples that run
- 20%1 run in a plain check · 4 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 83%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 33%
- MetabolSSMF HTML
Downloads
Dependencies
Installing MetabolSSMF adds 45 packages (23 with compiled code, 41 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, mclust 2.7 MB. 1 more not on CRAN is not measured.
Code & Tests
Datasets
People & History
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 0.1.0Latest2025-03-05 · current release
- RR 4.4.0 released · 2024-04-24
Package metadata
- First published
- 2025-03-05
- Total releases
- 1 / 1 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 325 KB / 6 files
- Download size
- 1.1 MB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("MetabolSSMF")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.