R: Distance Weighted Discrimination (DWD) and Kernel Methods

# Distance Weighted Discrimination (DWD) and Kernel Methods

## Documentation for package ‘kerndwd’ version 2.0.3

- DESCRIPTION file

## 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