Package: guidedPLS 0.99.0

Koki Tsuyuzaki

guidedPLS: Supervised Dimensional Reduction by Guided Partial Least Squares

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 <https://github.com/rikenbit/guidedPLS>.

Authors:Koki Tsuyuzaki [aut, cre]

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guidedPLS/json (API)
NEWS

# Install 'guidedPLS' in R:
install.packages('guidedPLS', repos = c('https://rikenbit.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/rikenbit/guidedpls/issues

On CRAN:

4.00 score 193 downloads 6 exports 3 dependencies

Last updated 2 years agofrom:a0875b7772. Checks:OK: 3 NOTE: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 11 2024
R-4.5-winNOTENov 11 2024
R-4.5-linuxNOTENov 11 2024
R-4.4-winNOTENov 11 2024
R-4.4-macNOTENov 11 2024
R-4.3-winOKNov 11 2024
R-4.3-macOKNov 11 2024

Exports:dummyMatrixguidedPLSPLSSVDsoftThrsPLSDAtoyModel

Dependencies:irlbalatticeMatrix

Partial Least Squares (PLS) Models

Rendered fromguidedPLS-1.Rmdusingknitr::rmarkdownon Nov 11 2024.

Last update: 2023-03-22
Started: 2023-03-22

Guided Partial Least Squares (guided-PLS)

Rendered fromguidedPLS-2.Rmdusingknitr::rmarkdownon Nov 11 2024.

Last update: 2023-03-22
Started: 2023-03-22