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>.


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install.packages("swa")

0.8.1 by Xingye Qiao, a year ago


Browse source code at https://github.com/cran/swa


Authors: Xingye Qiao [aut, cre] , Jiayang Sun [aut] , Yiying Fan [aut]


Documentation:   PDF Manual  


GPL-3 license


Depends on ROCR, reshape, ggplot2

Suggests testthat


See at CRAN