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) Sparse distance weighted discrimination, Journal of Computational and Graphical Statistics, 25(3), 826-838. (<doi:10.1080/10618600.2015.1049700>).

Version: 1.0.4
Depends: Matrix
Imports: grDevices, graphics, stats, methods
Published: 2020-09-03
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_1.0.4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: sdwd_1.0.4.tgz, r-oldrel: sdwd_1.0.4.tgz
Old sources: sdwd archive


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