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: sdwd_1.0.5.tgz, r-oldrel: sdwd_1.0.5.tgz |
| Old sources: | sdwd archive |
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