Package: fastPLS 0.2

Stefano Cacciatore

fastPLS: A Fast Implementation of Partial Least Square

An implementation in 'Rcpp' / 'RcppArmadillo' of Partial Least Square algorithms. This package includes other functions to perform the double cross-validation and a fast correlation.

Authors:Stefano Cacciatore [aut, trl, cre], Dupe Ojo [aut], Leonardo Tenori [aut], Alessia Vignoli [aut]

fastPLS_0.2.tar.gz
fastPLS_0.2.tar.gz(r-4.7-arm64)fastPLS_0.2.tar.gz(r-4.7-x86_64)fastPLS_0.2.tar.gz(r-4.6-arm64)fastPLS_0.2.tar.gz(r-4.6-x86_64)
fastPLS_0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
fastPLS/json (API)

# Install 'fastPLS' in R:
install.packages('fastPLS', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblascpp

1.11 score 13 scripts 174 downloads 7 exports 4 dependencies

Last updated from:8bdced9624. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK165
linux-devel-x86_64OK141
source / vignettesOK284
linux-release-arm64OK158
linux-release-x86_64OK197
wasm-releaseOK148

Exports:fastcoroptim.pls.cvplspls.double.cvpredict.fastPLStransformyViP

Dependencies:latticeMatrixRcppRcppArmadillo