Package: ddsPLS 1.2.1

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.

Authors:Hadrien Lorenzo

ddsPLS_1.2.1.tar.gz
ddsPLS_1.2.1.zip(r-4.5)ddsPLS_1.2.1.zip(r-4.4)ddsPLS_1.2.1.zip(r-4.3)
ddsPLS_1.2.1.tgz(r-4.4-x86_64)ddsPLS_1.2.1.tgz(r-4.4-arm64)ddsPLS_1.2.1.tgz(r-4.3-x86_64)ddsPLS_1.2.1.tgz(r-4.3-arm64)
ddsPLS_1.2.1.tar.gz(r-4.5-noble)ddsPLS_1.2.1.tar.gz(r-4.4-noble)
ddsPLS_1.2.1.tgz(r-4.4-emscripten)ddsPLS_1.2.1.tgz(r-4.3-emscripten)
ddsPLS.pdf |ddsPLS.html✨
ddsPLS/json (API)

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

Peer review:

Bug tracker:https://github.com/hlorenzo/ddspls/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

missing-datamulti-blockplssupervised-learningsvdvariable-selection

2 exports 0.75 score 36 dependencies 7 scripts 324 downloads

Last updated 8 months agofrom:3a57108fa0. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 27 2024
R-4.5-win-x86_64OKAug 27 2024
R-4.5-linux-x86_64OKAug 27 2024
R-4.4-win-x86_64OKAug 27 2024
R-4.4-mac-x86_64OKAug 27 2024
R-4.4-mac-aarch64OKAug 27 2024
R-4.3-win-x86_64OKAug 27 2024
R-4.3-mac-x86_64OKAug 27 2024
R-4.3-mac-aarch64OKAug 27 2024

Exports:ddsPLSddsPLS_App

Dependencies:base64encbslibcachemclicodetoolscommonmarkcrayondigestdoParallelfastmapfontawesomeforeachfsgluehtmltoolshttpuviteratorsjquerylibjsonlitelaterlifecyclemagrittrmemoisemimepromisesR6rappdirsRColorBrewerRcppRcppEigenrlangsassshinysourcetoolswithrxtable

Data-Driven Sparse PLS (ddsPLS)

Rendered fromddsPLS.Rmdusingknitr::rmarkdownon Aug 27 2024.

Last update: 2024-01-29
Started: 2018-07-12