Distance Weighted Discrimination (DWD) and Kernel Methods
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Documentation for package ‘kerndwd’ version 2.0.3
Help Pages
| kerndwd-package | Kernel Distance Weighted Discrimination |
| anovadot | Kernel Functions |
| anovakernel-class | Kernel Functions |
| besseldot | Kernel Functions |
| besselkernel-class | Kernel Functions |
| BUPA | BUPA's liver disorders data |
| cv.kerndwd | cross-validation |
| dots | Kernel Functions |
| kern | Kernel Functions |
| kerndwd | solve Linear DWD and Kernel DWD |
| laplacedot | Kernel Functions |
| laplacekernel-class | Kernel Functions |
| plot.cv.kerndwd | plot the cross-validation curve |
| plot.kerndwd | plot coefficients |
| polydot | Kernel Functions |
| polykernel-class | Kernel Functions |
| predict.kerndwd | predict class labels for new observations |
| rbfdot | Kernel Functions |
| rbfkernel-class | Kernel Functions |
| sigest | Kernel Functions |
| splinedot | Kernel Functions |
| splinekernel-class | Kernel Functions |
| tunedwd | fast tune procedure for DWD |
| vanilladot | Kernel Functions |
| vanillakernel-class | Kernel Functions |