kerndwd: Distance Weighted Discrimination (DWD) and Kernel Methods
Version 2.0.0

A novel implementation that solves the linear distance weighted discrimination and the kernel distance weighted discrimination.

Browse man pages Browse package API and functions Browse package files

AuthorBoxiang Wang <boxiang@umn.edu>, Hui Zou <hzou@stat.umn.edu>
Date of publication2017-05-24 04:25:18 UTC
MaintainerBoxiang Wang <boxiang@umn.edu>
LicenseGPL-2
Version2.0.0
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("kerndwd")

Man pages

BUPA: BUPA's liver disorders data
cv.kerndwd: cross-validation
dots: Kernel Functions
kerndwd: solve Linear DWD and Kernel DWD
kerndwd-package: Kernel Distance Weighted Discrimination
plot.cv.kerndwd: plot the cross-validation curve
plot.kerndwd: plot coefficients
predict.kerndwd: predict class labels for new observations
tunedwd: fast tune method for DWD

Functions

BUPA Man page
anovadot Man page Source code
anovakernel-class Man page
besseldot Man page Source code
besselkernel-class Man page
cv.kerndwd Man page Source code
cvcompute Source code
cvpath Source code
dots Man page
dwdloss Source code
dwdpath Source code
err Source code
error.bars Source code
fourierdot Source code
getmin Source code
kern Man page
kerndwd Man page Source code
kerndwd-package Man page
kernelFast Source code
kernelFast.anovakernel Source code
kernelFast.besselkernel Source code
kernelFast.laplacekernel Source code
kernelFast.polykernel Source code
kernelFast.rbfkernel Source code
kernelFast.splinekernel Source code
kernelFast.tanhkernel Source code
kernelFast.vanilla Source code
kernelMatrix Source code
kernelMatrix.anovakernel Source code
kernelMatrix.besselkernel Source code
kernelMatrix.laplacekernel Source code
kernelMatrix.polykernel Source code
kernelMatrix.rbfkernel Source code
kernelMatrix.splinekernel Source code
kernelMatrix.tanhkernel Source code
kernelMatrix.vanilla Source code
kernelMult Source code
kernelMult.anovakernel Source code
kernelMult.besselkernel Source code
kernelMult.character Source code
kernelMult.laplacekernel Source code
kernelMult.polykernel Source code
kernelMult.rbfkernel Source code
kernelMult.splinekernel Source code
kernelMult.tanhkernel Source code
kernelMult.vanillakernel Source code
kernelPol Source code
kernelPol.anovakernel Source code
kernelPol.besselkernel Source code
kernelPol.laplacekernel Source code
kernelPol.polykernel Source code
kernelPol.rbfkernel Source code
kernelPol.splinekernel Source code
kernelPol.tanhkernel Source code
kernelPol.vanillakernel Source code
laplacedot Man page Source code
laplacekernel-class Man page
plot.cv.kerndwd Man page Source code
plot.kerndwd Man page Source code
polydot Man page Source code
polykernel-class Man page
predict.kerndwd Man page Source code
rbfdot Man page Source code
rbfkernel-class Man page
sigest Man page Source code
splinedot Man page Source code
splinekernel-class Man page
tanhdot Source code
tunedwd Man page Source code
vanilladot Man page Source code
vanillakernel-class Man page

Files

COPYING
src
src/Makevars
src/dwd.f90
src/gdwd.f90
src/wdwd.f90
src/init.c
NAMESPACE
data
data/BUPA.rda
R
R/cv.kerndwd.R
R/plot.kerndwd.R
R/kerndwd.R
R/utilities.R
R/predict.kerndwd.R
R/kernels.R
R/tunedwd.R
R/plot.cv.kerndwd.R
MD5
DESCRIPTION
man
man/BUPA.Rd
man/plot.kerndwd.Rd
man/predict.kerndwd.Rd
man/cv.kerndwd.Rd
man/dots.Rd
man/kerndwd.Rd
man/tunedwd.Rd
man/kerndwd-package.Rd
man/plot.cv.kerndwd.Rd
kerndwd documentation built on May 24, 2017, 9:02 a.m.