sdwd: Sparse Distance Weighted Discrimination

Formulates a sparse distance weighted discrimination (SDWD) for high-dimensional classification and implements a very fast algorithm for computing its solution path with the L1, the elastic-net, and the adaptive elastic-net penalties. More details about the methodology SDWD is seen on Wang and Zou (2016) (<doi:10.1080/10618600.2015.1049700>).

Version:	1.0.5
Depends:	Matrix
Imports:	grDevices, graphics, stats, methods
Published:	2020-10-27
DOI:	10.32614/CRAN.package.sdwd
Author:	Boxiang Wang and Hui Zou
Maintainer:	Boxiang Wang <boxiang-wang at uiowa.edu>
License:	GPL-2
NeedsCompilation:	yes
CRAN checks:	sdwd results

Documentation:

Reference manual:

sdwd.pdf

Downloads:

Package source:	sdwd_1.0.5.tar.gz
Windows binaries:	r-devel: sdwd_1.0.5.zip, r-release: sdwd_1.0.5.zip, r-oldrel: sdwd_1.0.5.zip
macOS binaries:	r-release (arm64): sdwd_1.0.5.tgz, r-oldrel (arm64): sdwd_1.0.5.tgz, r-release (x86_64): sdwd_1.0.5.tgz, r-oldrel (x86_64): sdwd_1.0.5.tgz
Old sources:	sdwd archive

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