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) .


Reference manual

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install.packages("hySAINT")

1.2.1 by Leiyue Li, 3 years ago


Browse source code at https://github.com/cran/hySAINT


Authors: Leiyue Li [aut, cre] , Chenglong Ye [aut]


Documentation:   PDF Manual  


GPL-2 license


Imports utils, Matrix, energy, pracma, stats, selectiveInference, VariableScreening, SIS


See at CRAN