AirScreen: Feature Screening via Adaptive Iterative Ridge (Air-HOLP and Air-OLS)

Implements two complementary high-dimensional feature screening methods, Adaptive Iterative Ridge High-dimensional Ordinary Least-squares Projection (Air-HOLP, suitable when the number of predictors p is greater than or equal to the sample size n) and Adaptive Iterative Ridge Ordinary Least Squares (Air-OLS, for n greater than p). Also provides helper functions to generate compound-symmetry and AR(1) correlated data, plus a unified Air() front end and a summary method. For methodological details see Joudah, Muller and Zhu (2025) <doi:10.1007/s11222-025-10599-6>.

Version:	0.1.0
Imports:	stats
Suggests:	testthat (≥ 3.0.0)
Published:	2025-07-31
DOI:	10.32614/CRAN.package.AirScreen
Author:	Ibrahim Joudah [aut, cre], Samuel Muller [aut], Houying Zhu [aut]
Maintainer:	Ibrahim Joudah <ibrahim.joudah at mq.edu.au>
License:	MIT + file LICENSE
URL:	https://github.com/Logic314/Air-HOLP
NeedsCompilation:	no
Materials:	README
CRAN checks:	AirScreen results

Documentation:

Reference manual:

AirScreen.html , AirScreen.pdf

Downloads:

Package source:	AirScreen_0.1.0.tar.gz
Windows binaries:	r-devel: AirScreen_0.1.0.zip, r-release: AirScreen_0.1.0.zip, r-oldrel: AirScreen_0.1.0.zip
macOS binaries:	r-release (arm64): AirScreen_0.1.0.tgz, r-oldrel (arm64): AirScreen_0.1.0.tgz, r-release (x86_64): AirScreen_0.1.0.tgz, r-oldrel (x86_64): AirScreen_0.1.0.tgz

Linking:

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