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:
swa_0.8.1.tar.gz
swa_0.8.1.zip(r-4.7-any)swa_0.8.1.zip(r-4.6-any)
swa_0.8.1.tar.gz(r-4.7-any)swa_0.8.1.tar.gz(r-4.6-any)
swa_0.8.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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.
Last updated from:9f322c498d. Checks:6 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 132 | ||
| source / vignettes | OK | 210 | ||
| linux-release | OK | 127 | ||
| windows-devel | OK | 110 | ||
| windows-release | OK | 78 | ||
| wasm-release | OK | 139 |
Exports:swa
Dependencies:bitopscaToolsclicpp11farverggplot2gluegplotsgtablegtoolsisobandKernSmoothlabelinglifecycleplyrR6RColorBrewerRcppreshaperlangROCRS7scalesvctrsviridisLitewithr
