Package: kerndwd 2.0.3

Boxiang Wang

kerndwd: Distance Weighted Discrimination (DWD) and Kernel Methods

A novel implementation that solves the linear distance weighted discrimination and the kernel distance weighted discrimination. Reference: Wang and Zou (2018) <doi:10.1111/rssb.12244>.

Authors:Boxiang Wang <[email protected]>, Hui Zou <[email protected]>

kerndwd_2.0.3.tar.gz
kerndwd_2.0.3.tar.gz(r-4.5-noble)kerndwd_2.0.3.tar.gz(r-4.4-noble)
kerndwd_2.0.3.tgz(r-4.4-emscripten)kerndwd_2.0.3.tgz(r-4.3-emscripten)
kerndwd.pdf |kerndwd.html✨
kerndwd/json (API)

# Install 'kerndwd' in R:
install.packages('kerndwd', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • fortran– Runtime library for GNU Fortran applications
Datasets:
  • BUPA - BUPA's liver disorders data

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 9 scripts 239 downloads 14 exports 0 dependencies

Last updated 4 years agofrom:19de439689. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKSep 20 2024
R-4.5-linux-x86_64OKSep 20 2024

Exports:anovadotbesseldotcv.kerndwdkerndwdlaplacedotplot.cv.kerndwdplot.kerndwdpolydotpredict.kerndwdrbfdotsigestsplinedottunedwdvanilladot

Dependencies:

Readme and manuals

Help Manual

Help pageTopics
Kernel Distance Weighted Discriminationkerndwd-package
BUPA's liver disorders dataBUPA
cross-validationcv.kerndwd
solve Linear DWD and Kernel DWDkerndwd
Kernel Functionsanovadot anovakernel-class besseldot besselkernel-class dots kern laplacedot laplacekernel-class polydot polykernel-class rbfdot rbfkernel-class sigest splinedot splinekernel-class vanilladot vanillakernel-class
plot the cross-validation curveplot.cv.kerndwd
plot coefficientsplot.kerndwd
predict class labels for new observationspredict.kerndwd
fast tune procedure for DWDtunedwd