Package: POCRE 0.6.0

Dabao Zhang

POCRE: Penalized Orthogonal-Components Regression

Penalized orthogonal-components regression (POCRE) is a supervised dimension reduction method for high-dimensional data. It sequentially constructs orthogonal components (with selected features) which are maximally correlated to the response residuals. POCRE can also construct common components for multiple responses and thus build up latent-variable models.

Authors:Dabao Zhang, Zhongli Jiang, Zeyu Zhang, Yu-ting Chen

POCRE_0.6.0.tar.gz
POCRE_0.6.0.zip(r-4.7-any)POCRE_0.6.0.zip(r-4.6-any)
POCRE_0.6.0.tar.gz(r-4.7-any)POCRE_0.6.0.tar.gz(r-4.6-any)
POCRE_0.6.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
POCRE/json (API)

# Install 'POCRE' in R:
install.packages('POCRE', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • sim5ydata - A Set of Simulated Data with Multiple Response Variables
  • simbin - A Set of Simulated Binomial Data.
  • simdata - A Set of Simulated Data with Single Gaussian Response Variable
  • simpoi - A Set of Simulated Poisson Data.

On CRAN:

Conda:

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

1.60 score 10 scripts 256 downloads 4 mentions 7 exports 21 dependencies

Last updated from:7f0639d46c. Checks:6 OK. Indexed: yes.

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linux-develOK133
source / vignettesOK227
linux-releaseOK131
windows-develOK74
windows-releaseOK86
wasm-releaseOK107

Exports:cvpocregpspocrepocrepathpocrescreenselectmodelsipocre

Dependencies:clicpp11EbayesThreshfarverggplot2gluegtableisobandlabelinglifecycleMASSpracmaR6RColorBrewerrlangS7scalesvctrsviridisLitewavethreshwithr