We provide a stage-wise selection method using genetic algorithm which can perform fast interaction selection in high-dimensional linear regression models with two-way interaction effects under strong, weak, or no heredity condition. Ye, C.,and Yang,Y. (2019) <doi:10.1109/TIT.2019.2913417>.
Version: 0.1.0 Imports: utils, Matrix, pracma, stats, dplyr, selectiveInference, VariableScreening, ggplot2 Published: 2023-12-20 DOI: 10.32614/CRAN.package.AVGAS Author: Leiyue Li [aut, cre], Chenglong Ye [aut] Maintainer: Leiyue Li <lli289.git at gmail.com> License: GPL-2 NeedsCompilation: no Language: en-US CRAN checks: AVGAS results Documentation: Reference manual: AVGAS.pdf Downloads: Package source: AVGAS_0.1.0.tar.gz Windows binaries: r-devel: AVGAS_0.1.0.zip, r-release: AVGAS_0.1.0.zip, r-oldrel: AVGAS_0.1.0.zip macOS binaries: r-release (arm64): AVGAS_0.1.0.tgz, r-oldrel (arm64): AVGAS_0.1.0.tgz, r-release (x86_64): AVGAS_0.1.0.tgz, r-oldrel (x86_64): AVGAS_0.1.0.tgz Linking:Please use the canonical form https://CRAN.R-project.org/package=AVGAS to link to this page.
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