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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | AVGAS_0.1.0.tar.gz |
85.0 KiB |
0.1.0 |
rolling linux/noble R-4.5 | AVGAS_0.1.0.tar.gz |
84.9 KiB |
0.1.0 |
rolling source/ R- | AVGAS_0.1.0.tar.gz |
14.1 KiB |
0.1.0 |
latest linux/jammy R-4.5 | AVGAS_0.1.0.tar.gz |
85.0 KiB |
0.1.0 |
latest linux/noble R-4.5 | AVGAS_0.1.0.tar.gz |
84.9 KiB |
0.1.0 |
latest source/ R- | AVGAS_0.1.0.tar.gz |
14.1 KiB |
0.1.0 |
2026-04-26 source/ R- | AVGAS_0.1.0.tar.gz |
14.1 KiB |
0.1.0 |
2026-04-23 source/ R- | AVGAS_0.1.0.tar.gz |
14.1 KiB |
0.1.0 |
2026-04-09 windows/windows R-4.5 | AVGAS_0.1.0.zip |
87.1 KiB |
0.1.0 |
2025-04-20 source/ R- | AVGAS_0.1.0.tar.gz |
14.1 KiB |