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packMBPLSDA  

Multi-Block Partial Least Squares Discriminant Analysis
View on CRAN: Click here


Download and install packMBPLSDA package within the R console
Install from CRAN:
install.packages("packMBPLSDA")

Install from Github:
library("remotes")
install_github("cran/packMBPLSDA")

Install by package version:
library("remotes")
install_version("packMBPLSDA", "0.9.0")



Attach the package and use:
library("packMBPLSDA")
Maintained by
Marion Brandolini-Bunlon
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-05-16
Latest Update: 2022-06-20
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).
How to cite:
Marion Brandolini-Bunlon (2019). packMBPLSDA: Multi-Block Partial Least Squares Discriminant Analysis. R package version 0.9.0, https://cran.r-project.org/web/packages/packMBPLSDA. Accessed 07 Nov. 2024.
Previous versions and publish date:
0.6 (2019-05-16 15:30), 0.8.0 (2020-03-15 09:30)
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