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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. Metabolomics, 15(10):134).
Getting started
Browse package contents
Package details |
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| Author | Marion Brandolini-Bunlon, Stephanie Bougeard, Melanie Petera, Estelle Pujos-Guillot |
| Maintainer | Marion Brandolini-Bunlon <marion.brandolini-bunlon@inra.fr> |
| License | GPL (>= 2.0) |
| Version | 0.9.0 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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