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>
License: GPL-2
NeedsCompilation: yes
CRAN checks: sdwd results


Reference manual: sdwd.pdf


Package source: sdwd_1.0.5.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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


Please use the canonical form to link to this page.