Package: hySAINT 1.2.1

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>.

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

hySAINT_1.2.1.tar.gz
hySAINT_1.2.1.zip(r-4.5)hySAINT_1.2.1.zip(r-4.4)hySAINT_1.2.1.zip(r-4.3)
hySAINT_1.2.1.tgz(r-4.4-any)hySAINT_1.2.1.tgz(r-4.3-any)
hySAINT_1.2.1.tar.gz(r-4.5-noble)hySAINT_1.2.1.tar.gz(r-4.4-noble)
hySAINT_1.2.1.tgz(r-4.4-emscripten)hySAINT_1.2.1.tgz(r-4.3-emscripten)
hySAINT.pdf |hySAINT.html✨
hySAINT/json (API)

# Install 'hySAINT' in R:
install.packages('hySAINT', repos = c('https://lli289.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.30 score 123 downloads 7 exports 26 dependencies

Last updated 7 months agofrom:4bddb7f9d4. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 01 2024
R-4.5-winOKNov 01 2024
R-4.5-linuxOKNov 01 2024
R-4.4-winOKNov 01 2024
R-4.4-macOKNov 01 2024
R-4.3-winOKNov 01 2024
R-4.3-macOKNov 01 2024

Exports:ABCCrossoverEVAExtracthySAINTInitialMutation

Dependencies:adaptMCMCbootcodacodetoolsenergyexpmforeachgeeglmnetgslintervalsiteratorslatticeMASSMatrixncvregpracmaramcmcRcppRcppArmadilloRcppEigenselectiveInferenceshapeSISsurvivalVariableScreening