swa: Subsampling Winner Algorithm for Classification

This algorithm conducts variable selection in the classification setting. It repeatedly subsamples variables and runs linear discriminant analysis (LDA) on the subsampled variables. Variables are scored based on the AUC and the t-statistics. Variables then enter a competition and the semi-finalist variables will be evaluated in a final round of LDA classification. The algorithm then outputs a list of variable selected. Qiao, Sun and Fan (2017) <http://people.math.binghamton.edu/qiao/swa.html>.

Version: 0.8.1
Depends: R (≥ 3.3.1), ROCR, reshape, ggplot2
Suggests: testthat
Published: 2017-10-18
DOI: 10.32614/CRAN.package.swa
Author: Xingye Qiao [aut, cre], Jiayang Sun [aut], Yiying Fan [aut]
Maintainer: Xingye Qiao <qiao at math.binghamton.edu>
License: GPL-3
NeedsCompilation: no
CRAN checks: swa results


Reference manual: swa.pdf


Package source: swa_0.8.1.tar.gz
Windows binaries: r-devel: swa_0.8.1.zip, r-release: swa_0.8.1.zip, r-oldrel: swa_0.8.1.zip
macOS binaries: r-release (arm64): swa_0.8.1.tgz, r-oldrel (arm64): swa_0.8.1.tgz, r-release (x86_64): swa_0.8.1.tgz, r-oldrel (x86_64): swa_0.8.1.tgz


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