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) <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
OS X binaries: r-release: DWDLargeR_0.1-0.tgz, r-oldrel: DWDLargeR_0.1-0.tgz


Please use the canonical form https://CRAN.R-project.org/package=DWDLargeR to link to this page.