packMBPLSDA: Multi-Block Partial Least Squares Discriminant Analysis

Several functions are provided to implement a MBPLSDA : components search, optimal model components number search, optimal model validity test by permutation tests, observed values evaluation of optimal model parameters and predicted categories, bootstrap values evaluation of optimal model parameters and predicted cross-validated categories. The use of this package is described in Brandolini-Bunlon et al (2019, Multi-block PLS discriminant analysis for the joint analysis of metabolomic and epidemiological data (submitted in Metabolomics)).

Version: 0.6
Depends: ade4, pROC
Imports: DiscriMiner, MASS, parallel, doParallel, foreach, FactoMineR
Published: 2019-05-16
Author: Marion Brandolini-Bunlon, Stephanie Bougeard, Melanie Petera, Estelle Pujos-Guillot
Maintainer: Marion Brandolini-Bunlon <marion.brandolini-bunlon at inra.fr>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2.0)]
NeedsCompilation: no
CRAN checks: packMBPLSDA results

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Reference manual: packMBPLSDA.pdf
Package source: packMBPLSDA_0.6.tar.gz
Windows binaries: r-devel: packMBPLSDA_0.6.zip, r-release: packMBPLSDA_0.6.zip, r-oldrel: packMBPLSDA_0.6.zip
OS X binaries: r-release: packMBPLSDA_0.6.tgz, r-oldrel: packMBPLSDA_0.6.tgz

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