Package: swa 0.8.1

Xingye Qiao

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>.

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

swa_0.8.1.tar.gz
swa_0.8.1.tar.gz(r-4.5-noble)swa_0.8.1.tar.gz(r-4.4-noble)
swa_0.8.1.tgz(r-4.4-emscripten)swa_0.8.1.tgz(r-4.3-emscripten)
swa.pdf |swa.html✨
swa/json (API)

# Install 'swa' in R:
install.packages('swa', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 219 downloads 1 mentions 1 exports 37 dependencies

Last updated 7 years agofrom:9f322c498d. Checks:2 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 26 2025
R-4.5-linuxOKJan 26 2025

Exports:swa

Dependencies:bitopscaToolsclicolorspacefansifarverggplot2gluegplotsgtablegtoolsisobandKernSmoothlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigplyrR6RColorBrewerRcppreshaperlangROCRscalestibbleutf8vctrsviridisLitewithr