packMBPLSDA (0.6)

0 users

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)).

Maintainer: Marion Brandolini-Bunlon
Author(s): Marion Brandolini-Bunlon, Stephanie Bougeard, Melanie Petera, Estelle Pujos-Guillot

License: GPL (>= 2.0)

Uses: ade4, DiscriMiner, doParallel, FactoMineR, foreach, MASS, pROC

Released 9 months ago.



  (0 votes)


  (0 votes)

Log in to vote.


No one has written a review of packMBPLSDA yet. Want to be the first? Write one now.

Related packages:(20 best matches, based on common tags.)

Search for packMBPLSDA on google, google scholar, r-help, r-devel.

Visit packMBPLSDA on R Graphical Manual.