# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "AirScreen" in publications use:' type: software license: MIT title: 'AirScreen: Feature Screening via Adaptive Iterative Ridge (Air-HOLP and Air-OLS)' version: 0.1.0 doi: 10.32614/CRAN.package.AirScreen abstract: 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) . authors: - family-names: Joudah given-names: Ibrahim email: ibrahim.joudah@mq.edu.au orcid: https://orcid.org/0000-0002-0397-6266 - family-names: Muller given-names: Samuel email: samuel.muller@mq.edu.au orcid: https://orcid.org/0000-0002-3087-8127 - family-names: Zhu given-names: Houying email: houying.zhu@mq.edu.au orcid: https://orcid.org/0000-0002-2515-7413 repository: https://cran.r-universe.dev repository-code: https://github.com/Logic314/Air-HOLP commit: c578d7ef4845300b8f6a387e95c828825a886747 url: https://github.com/Logic314/Air-HOLP date-released: '2025-07-31' contact: - family-names: Joudah given-names: Ibrahim email: ibrahim.joudah@mq.edu.au orcid: https://orcid.org/0000-0002-0397-6266