Man pages for MetabolAnalyze
Probabilistic latent variable models for metabolomic data.

AitkenAssess convergence of an EM algorithm.
BrainSpectraNMR spectral data from brain tissue samples.
estep1First E step of the AECM algorithm when fitting a mixture of...
estep2Second E step of the AECM algorithm when fitting a mixture of...
htFunction to plot a heatmap of BIC values.
loadings.jack.plotPlot loadings and their associated confidence intervals.
loadings.plotPlot loadings.
MetabolAnalyze-packageProbabilistic latent variable models for metabolomic data.
mppca.loadings.plotPlot loadings resulting from fitting a MPPCA model.
mppca.metabolFit a mixture of probabilistic principal components analysis...
mppca.scores.plotPlot scores from a fitted MPPCA model
mstep1First M-step of the AECM algorithm when fitting a mixture of...
mstep2Second M-step of the AECM algorithm when fitting a mixture of...
ppca.metabolFit a probabilistic principal components analysis (PPCA)...
ppca.metabol.jackFit a probabilistic principal components analysis model to a...
ppca.scores.plotPlot scores from a fitted PPCA model
ppcca.metabolFit a probabilistic principal components and covariates...
ppcca.metabol.jackFit a probabilistic principal components and covariates...
ppcca.scores.plotPlot scores from a fitted PPCCA model.
scalingFunction to scale metabolomic spectral data.
standardizeFunction to scale covariates.
UrineSpectraNMR metabolomic spectra from urine samples of 18 mice.
MetabolAnalyze documentation built on May 30, 2017, 2:26 a.m.