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)
- Version0.8.1
- R version≥ 3.3.1
- LicenseGPL-3
- Needs compilation?No
- Last release10/18/2017
Team
Xingye Qiao
Jiayang Sun
Show author detailsRolesAuthorYiying Fan
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- Depends4 packages
- Suggests1 package