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-4.5)DWDLargeR_0.2-0.zip(r-4.4)DWDLargeR_0.2-0.zip(r-4.3)
DWDLargeR_0.2-0.tgz(r-4.4-any)DWDLargeR_0.2-0.tgz(r-4.3-any)
DWDLargeR_0.2-0.tar.gz(r-4.5-noble)DWDLargeR_0.2-0.tar.gz(r-4.4-noble)
DWDLargeR_0.2-0.tgz(r-4.4-emscripten)DWDLargeR_0.2-0.tgz(r-4.3-emscripten)
DWDLargeR.pdf |DWDLargeR.html✨
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 3 months agofrom:404f13ff35. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 04 2024 |
| R-4.5-win | OK | Nov 04 2024 |
| R-4.5-linux | OK | Nov 04 2024 |
| R-4.4-win | OK | Nov 04 2024 |
| R-4.4-mac | OK | Nov 04 2024 |
| R-4.3-win | OK | Nov 04 2024 |
| R-4.3-mac | OK | Nov 04 2024 |
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 |
