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:Nyamundanda Gift, Isobel Claire Gormley and Lorraine Brennan.

MetabolAnalyze_1.3.1.tar.gz
MetabolAnalyze_1.3.1.zip(r-4.7)MetabolAnalyze_1.3.1.zip(r-4.6)MetabolAnalyze_1.3.1.zip(r-4.5)
MetabolAnalyze_1.3.1.tgz(r-4.6-any)MetabolAnalyze_1.3.1.tgz(r-4.5-any)
MetabolAnalyze_1.3.1.tar.gz(r-4.7-any)MetabolAnalyze_1.3.1.tar.gz(r-4.6-any)
MetabolAnalyze_1.3.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
MetabolAnalyze/json (API)

# Install 'MetabolAnalyze' in R:
install.packages('MetabolAnalyze', repos = c('https://gormleyi.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • BrainSpectra - NMR spectral data from brain tissue samples.
  • UrineSpectra - NMR metabolomic spectra from urine samples of 18 mice.

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.69 score 1 stars 1 packages 18 scripts 322 downloads 9 mentions 19 exports 8 dependencies

Last updated from:dc21350206. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK143
source / vignettesOK184
linux-release-x86_64OK144
macos-release-arm64OK138
macos-oldrel-arm64OK137
windows-develOK69
windows-releaseOK68
windows-oldrelOK60
wasm-releaseOK106

Exports:Aitkenestep1estep2htloadings.jack.plotloadings.plotmppca.loadings.plotmppca.metabolmppca.scores.plotmstep1mstep2ppca.metabolppca.metabol.jackppca.scores.plotppcca.metabolppcca.metabol.jackppcca.scores.plotscalingstandardize

Dependencies:bitopscaToolsellipsegplotsgtoolsKernSmoothmclustmvtnorm