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>.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | LaplacesDemon, NMF, doParallel, foreach, iterators, lsei, mclust, tidyr |
| Suggests: | knitr, rmarkdown, caroline, ggsci, BiocManager, Biobase |
| Published: | 2025-03-05 |
| DOI: | 10.32614/CRAN.package.MetabolSSMF |
| Author: | Wenxuan Liu [aut, cre], Thomas Brendan Murphy [aut], Lorraine Brennan [aut] |
| Maintainer: | Wenxuan Liu <wenxuan.liu at ucdconnect.ie> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | MetabolSSMF results |
| Reference manual: | MetabolSSMF.html , MetabolSSMF.pdf |
| Vignettes: |
MetabolSSMF (source, R code) |
| Package source: | MetabolSSMF_0.1.0.tar.gz |
| Windows binaries: | r-devel: MetabolSSMF_0.1.0.zip, r-release: MetabolSSMF_0.1.0.zip, r-oldrel: MetabolSSMF_0.1.0.zip |
| macOS binaries: | r-release (arm64): MetabolSSMF_0.1.0.tgz, r-oldrel (arm64): MetabolSSMF_0.1.0.tgz, r-release (x86_64): MetabolSSMF_0.1.0.tgz, r-oldrel (x86_64): MetabolSSMF_0.1.0.tgz |
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