Hybrid 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.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 7
- Examples that run
- 100%7 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 14%
Downloads
Dependencies
Installing hySAINT adds 24 packages (15 with compiled code, 14 MB of source tarballs). Heaviest: glmnet 2.7 MB, SIS 2.4 MB, Rcpp 1.8 MB.
Code & Tests
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- 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
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