DWDLargeR
Fast Algorithms for Large Scale Generalized Distance Weighted Discrimination
Solving large scale distance weighted discrimination. The main algorithm is a symmetric Gauss-Seidel based alternating direction method of multipliers (ADMM) method. See Lam, X.Y., Marron, J.S., Sun, D.F., and Toh, K.C. (2018) doi:10.48550/arXiv.1604.05473 for more details.
- Version0.2-0
- R version≥ 3.5.0
- LicenseGPL-2
- Needs compilation?No
- Last release08/19/2024
Team
Xin-Yee Lam
J.S. Marron
Show author detailsRolesAuthorDefeng Sun
Show author detailsRolesAuthorKim-Chuan Toh
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 175 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 5 times.
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Last 365 days
This package has been downloaded 2,304 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Aug 21, 2024 with 35 downloads.
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Dependencies
- Depends1 package