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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