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

Documentation:

Reference manual:

hySAINT.pdf

Downloads:

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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