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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.
| Version: | 0.2-0 |
| Depends: | R (≥ 3.5.0), Matrix |
| Imports: | methods, stats |
| Published: | 2024-08-19 |
| DOI: | 10.32614/CRAN.package.DWDLargeR |
| Author: | Xin-Yee Lam [aut, cre], J.S. Marron [aut], Defeng Sun [aut], Kim-Chuan Toh [aut] |
| Maintainer: | Xin-Yee Lam <matlxy at nus.edu.sg> |
| License: | GPL-2 |
| URL: | https://arxiv.org/pdf/1604.05473 |
| NeedsCompilation: | no |
| CRAN checks: | DWDLargeR results |
| Reference manual: | DWDLargeR.pdf |
| Package source: | DWDLargeR_0.2-0.tar.gz |
| Windows binaries: | r-devel: DWDLargeR_0.2-0.zip, r-release: DWDLargeR_0.2-0.zip, r-oldrel: DWDLargeR_0.2-0.zip |
| macOS binaries: | r-release (arm64): DWDLargeR_0.2-0.tgz, r-oldrel (arm64): DWDLargeR_0.2-0.tgz, r-release (x86_64): DWDLargeR_0.2-0.tgz, r-oldrel (x86_64): DWDLargeR_0.2-0.tgz |
| Old sources: | DWDLargeR archive |
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