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guidedPLS (version 1.0.0)

Supervised Dimensional Reduction by Guided Partial Least Squares

Description

Guided partial least squares (guided-PLS) is the combination of partial least squares by singular value decomposition (PLS-SVD) and guided principal component analysis (guided-PCA). For the details of the methods, see the reference section of GitHub README.md .

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Install

install.packages('guidedPLS')

Monthly Downloads

191

Version

1.0.0

License

MIT + file LICENSE

Issues

0

Pull Requests

0

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0

Forks

0

Maintainer

Koki Tsuyuzaki

Last Published

May 12th, 2023

Functions in guidedPLS (1.0.0)

softThr

Soft-thresholding to make a sparse vector sparse
dummyMatrix

Toy model data for using dNMF, dSVD, dsiNMF, djNMF, dPLS, dNTF, and dNTD
sPLSDA

Sparse Partial Least Squares Discriminant Analysis (sPLS-DA)
guidedPLS

Guided Partial Least Squares (guied-PLS)
guidedPLS-package

tools:::Rd_package_title("guidedPLS")
PLSSVD

Partial Least Squares by Singular Value Decomposition (PLS-SVD)
toyModel

Toy model data for using PLSSVD, sPLSDA, and guidedPLS