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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>).
Getting started
Browse package contents
Package details |
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| Author | Boxiang Wang and Hui Zou |
| Maintainer | Boxiang Wang <boxiang-wang@uiowa.edu> |
| License | GPL-2 |
| Version | 1.0.5 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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