Package: DWDLargeR 0.2-0
DWDLargeR: Fast Algorithms for Large Scale Generalized Distance Weighted Discrimination
Solving large scale distance weighted discrimination. The main algorithm is a symmetric Gauss-Seidel based alternating direction method of multipliers (ADMM) method. See Lam, X.Y., Marron, J.S., Sun, D.F., and Toh, K.C. (2018) <doi:10.48550/arXiv.1604.05473> for more details.
Authors:
DWDLargeR_0.2-0.tar.gz
DWDLargeR_0.2-0.zip(r-4.7-any)DWDLargeR_0.2-0.zip(r-4.6-any)DWDLargeR_0.2-0.zip(r-4.5-any)
DWDLargeR_0.2-0.tgz(r-4.6-any)DWDLargeR_0.2-0.tgz(r-4.5-any)
DWDLargeR_0.2-0.tar.gz(r-4.7-any)DWDLargeR_0.2-0.tar.gz(r-4.6-any)
DWDLargeR_0.2-0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
DWDLargeR/json (API)
| # Install 'DWDLargeR' in R: |
| install.packages('DWDLargeR', repos = c('https://xylam.r-universe.dev', 'https://cloud.r-project.org')) |
- mushrooms - Classification data from Audobon Society Field Guide (1981).
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:404f13ff35. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 133 | ||
| source / vignettes | OK | 221 | ||
| linux-release | OK | 118 | ||
| macos-release | OK | 141 | ||
| macos-oldrel | OK | 200 | ||
| windows-devel | OK | 79 | ||
| windows-release | OK | 83 | ||
| windows-oldrel | OK | 88 | ||
| wasm-release | OK | 95 |
Exports:fnormgenDWDlinsysolvepenaltyParameterpolyRootsNewtonprecondfunpsqmrsigma_updatesmwvecMultiply
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Fast Algorithms for Large Scale Generalized Distance Weighted Discrimination | DWDLargeR-package |
| Solve the generalized distance weighted discrimination (DWD) model. | genDWD |
| Classification data from Audobon Society Field Guide (1981). | mushrooms |
| Compute the penalty parameter for the model. | penaltyParameter |