Package: AirScreen 0.1.0
Ibrahim Joudah
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>.
Authors:
AirScreen_0.1.0.tar.gz
AirScreen_0.1.0.tar.gz(r-4.7-any)AirScreen_0.1.0.tar.gz(r-4.6-any)
AirScreen_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
AirScreen/json (API)
| # Install 'AirScreen' in R: |
| install.packages('AirScreen', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/logic314/air-holp/issues
Last updated from:c578d7ef48. Checks:3 OK, 1 ERROR. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 105 | ||
| source / vignettes | ERROR | 152 | ||
| linux-release-x86_64 | OK | 114 | ||
| wasm-release | OK | 83 |
Exports:AirAirHOLPAirOLSnewtonrnormAR1rnormCS
Dependencies:
