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AirScreen  

Feature Screening via Adaptive Iterative Ridge (Air-HOLP and Air-OLS)
View on CRAN: Click here


Download and install AirScreen package within the R console
Install from CRAN:
install.packages("AirScreen")

Install from Github:
library("remotes")
install_github("cran/AirScreen")

Install by package version:
library("remotes")
install_version("AirScreen", "0.1.0")



Attach the package and use:
library("AirScreen")
Maintained by
Ibrahim Joudah
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-07-31
Latest Update: 2025-07-31
Description:
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). Alsoprovides 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>.
How to cite:
Ibrahim Joudah (2025). AirScreen: Feature Screening via Adaptive Iterative Ridge (Air-HOLP and Air-OLS). R package version 0.1.0, https://cran.r-project.org/web/packages/AirScreen. Accessed 24 Oct. 2026.
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