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) <arXiv:1604.05473> for more details.
| Version: | 0.1-0 |
| Depends: | R (≥ 2.10), Matrix, SparseM |
| Imports: | methods, stats |
| Published: | 2018-02-06 |
| Author: | Xin-Yee Lam, J.S. Marron, Defeng Sun, and Kim-Chuan Toh |
| Maintainer: | Kim-Chuan Toh <mattohkc at nus.edu.sg> |
| License: | GPL-2 |
| URL: | https://arxiv.org/pdf/1604.05473.pdf |
| NeedsCompilation: | no |
| CRAN checks: | DWDLargeR results |
| Reference manual: | DWDLargeR.pdf |
| Package source: | DWDLargeR_0.1-0.tar.gz |
| Windows binaries: | r-devel: DWDLargeR_0.1-0.zip, r-release: DWDLargeR_0.1-0.zip, r-oldrel: DWDLargeR_0.1-0.zip |
| macOS binaries: | r-release (arm64): DWDLargeR_0.1-0.tgz, r-oldrel (arm64): DWDLargeR_0.1-0.tgz, r-release (x86_64): DWDLargeR_0.1-0.tgz, r-oldrel (x86_64): DWDLargeR_0.1-0.tgz |
| Reverse imports: | diproperm |
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