The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
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[@]metanet.ch.
A novel implementation that solves the linear distance weighted discrimination and the kernel distance weighted discrimination. Reference: Wang and Zou (2018) <doi:10.1111/rssb.12244>.
Version: | 2.0.3 |
Depends: | methods |
Imports: | graphics, grDevices, stats, utils |
Published: | 2020-09-03 |
DOI: | 10.32614/CRAN.package.kerndwd |
Author: | Boxiang Wang, Hui Zou |
Maintainer: | Boxiang Wang <boxiang-wang at uiowa.edu> |
License: | GPL-2 |
NeedsCompilation: | yes |
CRAN checks: | kerndwd results |
Reference manual: | kerndwd.pdf |
Package source: | kerndwd_2.0.3.tar.gz |
Windows binaries: | r-devel: kerndwd_2.0.3.zip, r-release: kerndwd_2.0.3.zip, r-oldrel: kerndwd_2.0.3.zip |
macOS binaries: | r-release (arm64): kerndwd_2.0.3.tgz, r-oldrel (arm64): kerndwd_2.0.3.tgz, r-release (x86_64): kerndwd_2.0.3.tgz, r-oldrel (x86_64): kerndwd_2.0.3.tgz |
Old sources: | kerndwd archive |
Please use the canonical form https://CRAN.R-project.org/package=kerndwd 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.