CRAN: Package ddsPLS

ddsPLS: Data-Driven Sparse Partial Least Squares

A sparse Partial Least Squares implementation which uses soft-threshold estimation of the covariance matrices and therein introduces sparsity. Number of components and regularization coefficients are automatically set.

Version: 1.2.1

Depends: foreach, R (≥ 2.10)

Imports: Rcpp (≥ 1.0.5), doParallel, shiny, RColorBrewer

LinkingTo: Rcpp, RcppEigen

Suggests: knitr, rmarkdown, MASS

Published: 2024年01月30日

DOI: 10.32614/CRAN.package.ddsPLS

Author: Hadrien Lorenzo

Maintainer: Hadrien Lorenzo <hadrien.lorenzo.2015 at gmail.com>

License: MIT + file LICENSE

NeedsCompilation: yes

Citation: ddsPLS citation info

Materials: README

CRAN checks: ddsPLS results

Documentation:

Reference manual: ddsPLS.html , ddsPLS.pdf

Vignettes: Data-Driven Sparse PLS (ddsPLS) (source, R code)

Downloads:

Package source: ddsPLS_1.2.1.tar.gz

Windows binaries: r-devel: ddsPLS_1.2.1.zip, r-release: ddsPLS_1.2.1.zip, r-oldrel: ddsPLS_1.2.1.zip

macOS binaries: r-release (arm64): ddsPLS_1.2.1.tgz, r-oldrel (arm64): ddsPLS_1.2.1.tgz, r-release (x86_64): ddsPLS_1.2.1.tgz, r-oldrel (x86_64): ddsPLS_1.2.1.tgz

Old sources: ddsPLS archive

Linking:

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