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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).

Versions across snapshots

VersionRepositoryFileSize
0.9.0 rolling linux/jammy R-4.5 packMBPLSDA_0.9.0.tar.gz 333.8 KiB
0.9.0 rolling linux/noble R-4.5 packMBPLSDA_0.9.0.tar.gz 333.7 KiB
0.9.0 rolling source/ R- packMBPLSDA_0.9.0.tar.gz 85.0 KiB
0.9.0 latest linux/jammy R-4.5 packMBPLSDA_0.9.0.tar.gz 333.8 KiB
0.9.0 latest linux/noble R-4.5 packMBPLSDA_0.9.0.tar.gz 333.7 KiB
0.9.0 latest source/ R- packMBPLSDA_0.9.0.tar.gz 85.0 KiB
0.9.0 2026-04-26 source/ R- packMBPLSDA_0.9.0.tar.gz 85.0 KiB
0.9.0 2026-04-23 source/ R- packMBPLSDA_0.9.0.tar.gz 85.0 KiB
0.9.0 2026-04-09 windows/windows R-4.5 packMBPLSDA_0.9.0.zip 334.4 KiB
0.9.0 2025-04-20 source/ R- packMBPLSDA_0.9.0.tar.gz 85.0 KiB

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Imports