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:
AVGAS_0.1.0.tar.gz
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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')) |
Bug tracker:https://github.com/lli289/avgas/issues
Last updated 1 years agofrom:0ed8e5fcf0. Checks:8 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 03 2025 |
| R-4.5-win | OK | Mar 03 2025 |
| R-4.5-mac | OK | Mar 03 2025 |
| R-4.5-linux | OK | Mar 03 2025 |
| R-4.4-win | OK | Mar 03 2025 |
| R-4.4-mac | OK | Mar 03 2025 |
| R-4.3-win | OK | Mar 03 2025 |
| R-4.3-mac | OK | Mar 03 2025 |
Exports:ABCAVGAScrossdetectExtractGenoneinitialmut
Dependencies:adaptMCMCbootclicodacodetoolscolorspacedplyrenergyexpmfansifarverforeachgeegenericsggplot2glmnetgluegslgtableintervalsisobanditeratorslabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigpracmaR6ramcmcRColorBrewerRcppRcppArmadilloRcppEigenrlangscalesselectiveInferenceshapesurvivaltibbletidyselectutf8VariableScreeningvctrsviridisLitewithr
