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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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These binaries (installable software) and packages are in development.
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