Bootstrap Subsamplings of Sparse Partial Least Squares - Discriminant Analysis for Classification and Signature Identification


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Documentation for package ‘bootsPLS’ version 1.1.2

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bootsPLS-package Bootstrap Subsamplings of Sparse Partial Least Squares - Discriminant Analysis for Classification and Signature Identification
bootsPLS Performs replications of sPLSDA on random subsamplings of the data
CI.prediction Compute Confidence Intervals (CI) for test samples
compile.bootsPLS.object Combine several bootsPLS objects into one
component.selection Tune the number of components
fit.model Create a spls.constraint object by fitting a constraint spls on a bootsPLS object
MSC Mesenchymal Stem Cells data
plot.bootsPLS Plot the frequency of selection of all variables for all the PLS-component.
plot.component.selection Plot the results of the testing procedure to determine the number of component to select
plot.predictCI Plot confidence Intervals
plot.variable.selection Plot the results of the testing procedure to determine the number of variables to select
prediction prediction
spls.hybrid spls.hybrid, midway between PLS and sPLS
try Bootstrap Subsamplings of Sparse Partial Least Squares - Discriminant Analysis for Classification and Signature Identification
variable.selection Tune the number of variables on each component