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).
- Version1.0.5
- R versionunknown
- LicenseGPL-2
- Needs compilation?Yes
- Last release10/27/2020
Team
Boxiang Wang
Hui Zou
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- Depends1 package