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>.

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.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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