DWDLargeR-package: Fast Algorithms for Large Scale Generalized Distance Weighted...
In DWDLargeR: Fast Algorithms for Large Scale Generalized Distance Weighted Discrimination
Description
Details
Author(s)
References
Description
Solving large scale distance weighted discrimination.
The main algorithm is a symmetric Gauss-Seidel based alternating direction method
of multipliers (ADMM) method.
Details
The package DWDLargeR contains two main functions:
penaltyParameter
genDWD
Author(s)
Xin-Yee Lam, J.S. Marron, Defeng Sun, and Kim-Chuan Toh
References
Lam, X.Y., Marron, J.S., Sun, D.F., and Toh, K.C. (2018)
“Fast algorithms for large scale generalized distance weighted discrimination", Journal of Computational and Graphical Statistics, forthcoming.
https://arxiv.org/abs/1604.05473
DWDLargeR documentation built on May 2, 2019, 7:27 a.m.
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Description Details Author(s) References
Description
Solving large scale distance weighted discrimination. The main algorithm is a symmetric Gauss-Seidel based alternating direction method of multipliers (ADMM) method.
Details
The package DWDLargeR contains two main functions:
penaltyParameter
genDWD
Author(s)
Xin-Yee Lam, J.S. Marron, Defeng Sun, and Kim-Chuan Toh
References
Lam, X.Y., Marron, J.S., Sun, D.F., and Toh, K.C. (2018)
“Fast algorithms for large scale generalized distance weighted discrimination", Journal of Computational and Graphical Statistics, forthcoming.
https://arxiv.org/abs/1604.05473
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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