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 |
| 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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