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
MaintainerShow author detailsHui Zou
Show author detailsRolesAuthor
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Last 30 days
This package has been downloaded 416 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 12 times.
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Last 365 days
This package has been downloaded 2,933 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Oct 09, 2024 with 62 downloads.
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Dependencies
- Depends1 package