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>.
| Version: | 1.2.1 |
| Imports: | utils, Matrix, energy, pracma, stats, selectiveInference, VariableScreening, SIS |
| Published: | 2024-04-04 |
| DOI: | 10.32614/CRAN.package.hySAINT |
| 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: | hySAINT results |
| Reference manual: | hySAINT.html , hySAINT.pdf |
| Package source: | hySAINT_1.2.1.tar.gz |
| Windows binaries: | r-devel: hySAINT_1.2.1.zip, r-release: hySAINT_1.2.1.zip, r-oldrel: hySAINT_1.2.1.zip |
| macOS binaries: | r-release (arm64): hySAINT_1.2.1.tgz, r-oldrel (arm64): hySAINT_1.2.1.tgz, r-release (x86_64): hySAINT_1.2.1.tgz, r-oldrel (x86_64): hySAINT_1.2.1.tgz |
| Old sources: | hySAINT archive |
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