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:Sergey Kucheryavskiy [aut, cre]

pcv_1.1.0.tar.gz
pcv_1.1.0.zip(r-4.7-any)pcv_1.1.0.zip(r-4.6-any)pcv_1.1.0.zip(r-4.5-any)
pcv_1.1.0.tgz(r-4.6-any)pcv_1.1.0.tgz(r-4.5-any)
pcv_1.1.0.tar.gz(r-4.7-any)pcv_1.1.0.tar.gz(r-4.6-any)
pcv_1.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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:

On CRAN:

Conda:

4.43 score 9 stars 2 packages 6 scripts 993 downloads 7 exports 0 dependencies

Last updated from:41c4399a49. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develNOTE123
source / vignettesOK134
linux-releaseNOTE90
macos-releaseNOTE78
macos-oldrelNOTE114
windows-develNOTE54
windows-releaseNOTE54
windows-oldrelNOTE47
wasm-releaseOK86

Exports:getxpvorthpcvpcvcrossvalpcvpcapcvpcrpcvplsplotD

Dependencies: