bootsPLS: Bootstrap Subsamplings of Sparse Partial Least Squares - Discriminant Analysis for Classification and Signature Identification
Version 1.0.3

Applicable to any classification problem with more than 2 classes. It relies on bootstrap subsamplings of sPLS-DA and provides tools to select the most stable variables (defined as the ones consistently selected over the bootstrap subsamplings) and to predict the class of test samples.

Browse man pages Browse package API and functions Browse package files

AuthorFlorian Rohart [aut, cre], Kim-Anh Le Cao [boss], Christine Wells [boss]
Date of publication2015-08-20 10:39:44
MaintainerFlorian Rohart <florian.rohart@gmail.com>
LicenseGPL-3
Version1.0.3
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("bootsPLS")

Man pages

bootsPLS: Performs replications of the splsda on random subsamplings of...
bootsPLS-package: bootsPLS: bootstrap subsamplings of sPLS-DA for...
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...
MSC: Mesenchymal Stem Cells data
plot.bootsPLS: Plot the frequency of selection of all variables for all the...
plot.component.selection: Plot the results of the testing procedure to determine the...
plot.variable.selection: Plot the results of the testing procedure to determine the...
prediction: prediction
spls.hybrid: spls.hybrid, midway between PLS and sPLS
variable.selection: Tune the number of variables on each component

Functions

CI.prediction Man page Source code
CV.spls.hybrid Source code
Check.entry.X Source code
Check.entry.bootsPLS Source code
Check.entry.pls Source code
MSC Man page
bootsPLS Man page Source code
bootsPLS-package Man page
compile.bootsPLS.object Man page Source code
component.selection Man page Source code
fit.model Man page Source code
grey_area Source code
l2.norm Source code
match.keepX.constraint Source code
plot.bootsPLS Man page Source code
plot.component.selection Man page Source code
plot.variable.selection Man page Source code
prediction Man page Source code
prediction.formula Source code
random.subsampling Source code
soft_thresholding Source code
spls.hybrid Man page Source code
variable.selection Man page Source code

Files

NAMESPACE
NEWS
data
data/MSC.rda
R
R/routine.R
R/bootsPLS.R
R/CI.prediction.R
R/plot.bootsPLS.R
R/helpers.R
R/fit.model.R
R/plot.selection.comp.variable.R
R/grey_area.R
R/selection.R
R/spls.hybrid.R
R/prediction.R
R/CV.spls.constraint.R
R/compile.bootsPLS.object.R
MD5
DESCRIPTION
man
man/plot.variable.selection.Rd
man/bootsPLS.Rd
man/prediction.Rd
man/plot.bootsPLS.Rd
man/bootsPLS-package.Rd
man/component.selection.Rd
man/fit.model.Rd
man/compile.bootsPLS.object.Rd
man/MSC.Rd
man/spls.hybrid.Rd
man/variable.selection.Rd
man/CI.prediction.Rd
man/plot.component.selection.Rd
bootsPLS documentation built on May 20, 2017, 12:14 a.m.