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:
fastPLS_0.2.tar.gz
fastPLS_0.2.tar.gz(r-4.5-noble)fastPLS_0.2.tar.gz(r-4.4-noble)
fastPLS_0.2.tgz(r-4.4-emscripten)fastPLS_0.2.tgz(r-4.3-emscripten)
fastPLS.pdf |fastPLS.html✨
fastPLS/json (API)
| # Install 'fastPLS' in R: |
| install.packages('fastPLS', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 14 days agofrom:8bdced9624. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 12 2024 |
| R-4.5-linux-x86_64 | OK | Dec 12 2024 |
Exports:fastcoroptim.pls.cvplspls.double.cvpredict.fastPLStransformyViP
Dependencies:latticeMatrixRcppRcppArmadillo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Fast Correlation Analysis | fastcor |
| Cross-Validation with PLS-DA. | optim.pls.cv |
| Partial Least Squares. | pls |
| Cross-Validation with PLS-DA. | pls.double.cv |
| Prediction Partial Least Squares regression. | predict.fastPLS |
| Conversion Classification Vector to Matrix | transformy |
| Variable Importance in the Projection. | ViP |