Multi-Block Partial Least Squares Discriminant Analysis
Permutation testing of a multi-block partial least squares discriminan...
Plot the results of the fonction boot_mbplsda in a pdf file
bootstraped simulations for multi-block partial least squares discrimi...
Cross-validated predicted categories from a multi-block partial least ...
Disjunctive table
generalized inverse of a matrix X
inertia of a matrix
Multi-block partial least squares discriminant analysis
tools:::Rd_package_title("packMBPLSDA")
Plot the results of the fonction cvpred_mbplsda in a pdf file
Plot the results of the fonction permut_mbplsda in a pdf file
Plot the results of the fonction pred_mbplsda in a pdf file
Plot the results of the fonction testdim_mbplsda in a pdf file
Observed parameters and predicted categories from a multi-block partia...
Test of number of components by two-fold cross-validation for a multi-...
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).