Package: AVGAS 0.1.0

AVGAS: A Variable Selection using Genetic Algorithms

We provide a stage-wise selection method using genetic algorithm which can perform fast interaction selection in high-dimensional linear regression models with two-way interaction effects under strong, weak, or no heredity condition. Ye, C.,and Yang,Y. (2019) <doi:10.1109/TIT.2019.2913417>.

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

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AVGAS.pdf |AVGAS.html✨
AVGAS/json (API)

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

Peer review:

Bug tracker:https://github.com/lli289/avgas/issues

On CRAN:

3.00 score 2 scripts 197 downloads 8 exports 52 dependencies

Last updated 11 months agofrom:0ed8e5fcf0. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 03 2024
R-4.5-winOKNov 03 2024
R-4.5-linuxOKNov 03 2024
R-4.4-winOKNov 03 2024
R-4.4-macOKNov 03 2024
R-4.3-winOKNov 03 2024
R-4.3-macOKNov 03 2024

Exports:ABCAVGAScrossdetectExtractGenoneinitialmut

Dependencies:adaptMCMCbootclicodacodetoolscolorspacedplyrenergyexpmfansifarverforeachgeegenericsggplot2glmnetgluegslgtableintervalsisobanditeratorslabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigpracmaR6ramcmcRColorBrewerRcppRcppArmadilloRcppEigenrlangscalesselectiveInferenceshapesurvivaltibbletidyselectutf8VariableScreeningvctrsviridisLitewithr