AVGAS: A Variable Selection using Genetic Algorithms

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


Reference manual: AVGAS.pdf


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


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