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]

AVGAS_0.1.0.tar.gz
AVGAS_0.1.0.zip(r-4.7-any)AVGAS_0.1.0.zip(r-4.6-any)AVGAS_0.1.0.zip(r-4.5-any)
AVGAS_0.1.0.tgz(r-4.6-any)AVGAS_0.1.0.tgz(r-4.5-any)
AVGAS_0.1.0.tar.gz(r-4.7-any)AVGAS_0.1.0.tar.gz(r-4.6-any)
AVGAS_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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

On CRAN:

Conda:

2.70 score 327 downloads 8 exports 49 dependencies

Last updated from:0ed8e5fcf0. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK184
source / vignettesOK178
linux-releaseOK181
macos-releaseOK182
macos-oldrelOK210
windows-develOK113
windows-releaseOK90
windows-oldrelOK86
wasm-releaseOK115

Exports:ABCAVGAScrossdetectExtractGenoneinitialmut

Dependencies:adaptMCMCbootclicodacodetoolscpp11dplyrenergyexpmfarverforeachgeegenericsggplot2glmnetgluegslgtableintervalsisobanditeratorslabelinglatticelifecyclemagrittrMASSMatrixpillarpkgconfigpracmaR6ramcmcRColorBrewerRcppRcppArmadilloRcppEigenrlangS7scalesselectiveInferenceshapesurvivaltibbletidyselectutf8VariableScreeningvctrsviridisLitewithr