The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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: | 0.1-0 |
| 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 |
Please use the canonical form https://CRAN.R-project.org/package=DWDLargeR to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.