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

On CRAN:

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Last updated 8 months agofrom:0ed8e5fcf0. Checks:OK: 7. Indexed: yes.

Exports:ABCAVGAScrossdetectExtractGenoneinitialmut

Dependencies:adaptMCMCbootclicodacodetoolscolorspacedplyrenergyexpmfansifarverforeachgeegenericsggplot2glmnetgluegslgtableintervalsisobanditeratorslabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigpracmaR6ramcmcRColorBrewerRcppRcppArmadilloRcppEigenrlangscalesselectiveInferenceshapesurvivaltibbletidyselectutf8VariableScreeningvctrsviridisLitewithr