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swa  

Subsampling Winner Algorithm for Classification
View on CRAN: Click here


Download and install swa package within the R console
Install from CRAN:
install.packages("swa")

Install from Github:
library("remotes")
install_github("cran/swa")

Install by package version:
library("remotes")
install_version("swa", "0.8.1")



Attach the package and use:
library("swa")
Maintained by
Xingye Qiao
[Scholar Profile | Author Map]
First Published: 2017-10-18
Latest Update: 2017-10-18
Description:
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>.
How to cite:
Xingye Qiao (2017). swa: Subsampling Winner Algorithm for Classification. R package version 0.8.1, https://cran.r-project.org/web/packages/swa. Accessed 02 May. 2025.
Previous versions and publish date:
No previous versions
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Complete documentation for swa
Functions, R codes and Examples using the swa R package
Some associated functions: swa . 
Some associated R codes: Full swa package functions and examples
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