Package: MetabolAnalyze 1.3.1
MetabolAnalyze: Probabilistic Latent Variable Models for Metabolomic Data
Fits probabilistic principal components analysis, probabilistic principal components and covariates analysis and mixtures of probabilistic principal components models to metabolomic spectral data.
Authors:
MetabolAnalyze_1.3.1.tar.gz
MetabolAnalyze_1.3.1.zip(r-4.5)MetabolAnalyze_1.3.1.zip(r-4.4)MetabolAnalyze_1.3.1.zip(r-4.3)
MetabolAnalyze_1.3.1.tgz(r-4.4-any)MetabolAnalyze_1.3.1.tgz(r-4.3-any)
MetabolAnalyze_1.3.1.tar.gz(r-4.5-noble)MetabolAnalyze_1.3.1.tar.gz(r-4.4-noble)
MetabolAnalyze_1.3.1.tgz(r-4.4-emscripten)MetabolAnalyze_1.3.1.tgz(r-4.3-emscripten)
MetabolAnalyze.pdf |MetabolAnalyze.html✨
MetabolAnalyze/json (API)
# Install 'MetabolAnalyze' in R: |
install.packages('MetabolAnalyze', repos = c('https://gormleyi.r-universe.dev', 'https://cloud.r-project.org')) |
- BrainSpectra - NMR spectral data from brain tissue samples.
- UrineSpectra - NMR metabolomic spectra from urine samples of 18 mice.
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 years agofrom:dc21350206. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 01 2024 |
R-4.5-win | OK | Nov 01 2024 |
R-4.5-linux | OK | Nov 01 2024 |
R-4.4-win | OK | Nov 01 2024 |
R-4.4-mac | OK | Nov 01 2024 |
R-4.3-win | OK | Nov 01 2024 |
R-4.3-mac | OK | Nov 01 2024 |
Exports:Aitkenestep1estep2htloadings.jack.plotloadings.plotmppca.loadings.plotmppca.metabolmppca.scores.plotmstep1mstep2ppca.metabolppca.metabol.jackppca.scores.plotppcca.metabolppcca.metabol.jackppcca.scores.plotscalingstandardize
Dependencies:bitopscaToolsellipsegplotsgtoolsKernSmoothmclustmvtnorm