hySAINT
1.2.1Hybrid Genetic and Simulated Annealing Algorithm for High Dimensional Linear Models with Interaction Effects
Overview
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.
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- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
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- Documented parameters
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- Return-value docs
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- References docs
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Code & Tests
People & History
2 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 1.2.1Latest
- 1.2.02024-03-12
- RR 4.3.0 released · 2023-04-21
Package metadata
- First published
- 2024-03-12
- Total releases
- 2 / 2 yrs
- License
- GPL-2 OSI
- Download size
- 12 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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