bootsPLS (1.1.2)

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.

Maintainer: F.Rohart
Author(s): Florian Rohart [aut, cre], Kim-Anh Le Cao [boss], Christine Wells [boss]

License: GPL-3

Uses: mixOmics

Released over 1 year ago.