hySAINT
Hybrid Genetic and Simulated Annealing Algorithm for High Dimensional Linear Models with Interaction Effects
We provide a stage-wise selection method using genetic algorithms, designed to efficiently identify main and two-way interactions within high-dimensional linear regression models. Additionally, it implements simulated annealing algorithm during the mutation process. The relevant paper can be found at: Ye, C.,and Yang,Y. (2019) <doi:10.1109/TIT.2019.2913417>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.2.1 |
rolling source/ R- | hySAINT_1.2.1.tar.gz |
12.0 KiB |
1.2.1 |
rolling linux/jammy R-4.5 | hySAINT_1.2.1.tar.gz |
67.5 KiB |
1.2.1 |
rolling linux/noble R-4.5 | hySAINT_1.2.1.tar.gz |
67.4 KiB |
1.2.1 |
latest source/ R- | hySAINT_1.2.1.tar.gz |
12.0 KiB |
1.2.1 |
latest linux/jammy R-4.5 | hySAINT_1.2.1.tar.gz |
67.5 KiB |
1.2.1 |
latest linux/noble R-4.5 | hySAINT_1.2.1.tar.gz |
67.4 KiB |
1.2.1 |
2026-04-26 source/ R- | hySAINT_1.2.1.tar.gz |
12.0 KiB |
1.2.1 |
2026-04-23 source/ R- | hySAINT_1.2.1.tar.gz |
12.0 KiB |
1.2.1 |
2026-04-09 windows/windows R-4.5 | hySAINT_1.2.1.zip |
70.4 KiB |
1.2.1 |
2025-04-20 source/ R- | hySAINT_1.2.1.tar.gz |
12.0 KiB |