Package: packMBPLSDA
Type: Package
Title: Multi-Block Partial Least Squares Discriminant Analysis
Version: 0.9.0
Date: 2022-06-20
Author: Marion Brandolini-Bunlon, Stephanie Bougeard, Melanie Petera,
        Estelle Pujos-Guillot
Maintainer: Marion Brandolini-Bunlon <marion.brandolini-bunlon@inra.fr>
Description: 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. Metabolomics,
        15(10):134).
License: GPL (>= 2.0)
Depends: ade4, pROC
Imports: MASS, parallel, doParallel, foreach, FactoMineR
NeedsCompilation: no
Packaged: 2026-10-14 10:52:01 UTC; root
Repository: https://cran.r-universe.dev
Date/Publication: 2022-06-20 15:00:02 UTC
RemoteUrl: https://github.com/cran/packMBPLSDA
RemoteRef: HEAD
RemoteSha: a236b18f67d5e437e617692e228b0195fe8ebe3c