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

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.

Version: 1.1.2
Depends: mixOmics (≥ 6.3.1)
Published: 2018-05-17
Author: Florian Rohart [aut, cre], Kim-Anh Le Cao [boss], Christine Wells [boss]
Maintainer: Florian Rohart <florian.rohart at>
License: GPL-3
NeedsCompilation: no
Materials: NEWS
CRAN checks: bootsPLS results


Reference manual: bootsPLS.pdf


Package source: bootsPLS_1.1.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): bootsPLS_1.1.2.tgz, r-release (x86_64): bootsPLS_1.1.2.tgz, r-oldrel: bootsPLS_1.1.2.tgz
Old sources: bootsPLS archive

Reverse dependencies:

Reverse suggests: ChemoSpec


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