Package: pcv 1.1.0
pcv: Procrustes Cross-Validation
Implements Procrustes cross-validation method for Principal Component Analysis, Principal Component Regression and Partial Least Squares regression models. S. Kucheryavskiy (2023) <doi:10.1016/j.aca.2023.341096>.
Authors:
pcv_1.1.0.tar.gz
pcv_1.1.0.zip(r-4.5)pcv_1.1.0.zip(r-4.4)pcv_1.1.0.zip(r-4.3)
pcv_1.1.0.tgz(r-4.4-any)pcv_1.1.0.tgz(r-4.3-any)
pcv_1.1.0.tar.gz(r-4.5-noble)pcv_1.1.0.tar.gz(r-4.4-noble)
pcv_1.1.0.tgz(r-4.4-emscripten)pcv_1.1.0.tgz(r-4.3-emscripten)
pcv.pdf |pcv.html✨
pcv/json (API)
| # Install 'pcv' in R: |
| install.packages('pcv', repos = c('https://svkucheryavski.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/svkucheryavski/pcv/issues
Datasets:
- corn - Corn data
Last updated 12 months agofrom:41c4399a49. Checks:OK: 3 NOTE: 4. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 20 2024 |
| R-4.5-win | NOTE | Nov 20 2024 |
| R-4.5-linux | NOTE | Nov 20 2024 |
| R-4.4-win | NOTE | Nov 20 2024 |
| R-4.4-mac | NOTE | Nov 20 2024 |
| R-4.3-win | OK | Nov 20 2024 |
| R-4.3-mac | OK | Nov 20 2024 |
Exports:getxpvorthpcvpcvcrossvalpcvpcapcvpcrpcvplsplotD
Dependencies:
