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)).


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0.8.0 by Marion Brandolini-Bunlon, 2 years ago

Browse source code at

Authors: Marion Brandolini-Bunlon , Stephanie Bougeard , Melanie Petera , Estelle Pujos-Guillot

Documentation:   PDF Manual  

GPL (>= 2.0) license

Imports DiscriMiner, MASS, parallel, doParallel, foreach, FactoMineR

Depends on ade4, pROC

See at CRAN