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 uiowa.edu> |
| License: |
GPL-2 |
| NeedsCompilation: |
yes |
| CRAN checks: |
sdwd results |
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