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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | AirScreen_0.1.0.tar.gz |
59.6 KiB |
0.1.0 |
rolling linux/noble R-4.5 | AirScreen_0.1.0.tar.gz |
59.5 KiB |
0.1.0 |
rolling source/ R- | AirScreen_0.1.0.tar.gz |
12.2 KiB |
0.1.0 |
latest linux/jammy R-4.5 | AirScreen_0.1.0.tar.gz |
59.6 KiB |
0.1.0 |
latest linux/noble R-4.5 | AirScreen_0.1.0.tar.gz |
59.5 KiB |
0.1.0 |
latest source/ R- | AirScreen_0.1.0.tar.gz |
12.2 KiB |
0.1.0 |
2026-04-26 source/ R- | AirScreen_0.1.0.tar.gz |
12.2 KiB |
0.1.0 |
2026-04-23 source/ R- | AirScreen_0.1.0.tar.gz |
12.2 KiB |
0.1.0 |
2026-04-09 windows/windows R-4.5 | AirScreen_0.1.0.zip |
62.5 KiB |