The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
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[@]dogado.de.
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 |
| Author: | Boxiang Wang and Hui Zou |
| Maintainer: | Boxiang Wang <boxiang-wang at uiowa.edu> |
| 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: 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 |
Please use the canonical form https://CRAN.R-project.org/package=sdwd 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.
Health stats visible at Monitor.