This package is considered a duplicate. The official version of this package is found at:https://boxiang-wang.r-universe.dev/kerndwd
Package: kerndwd 2.0.3
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:
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')) |
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.
Last updated 4 years agofrom:19de439689. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 01 2024 |
R-4.5-linux-x86_64 | OK | Dec 01 2024 |
Exports:anovadotbesseldotcv.kerndwdkerndwdlaplacedotplot.cv.kerndwdplot.kerndwdpolydotpredict.kerndwdrbfdotsigestsplinedottunedwdvanilladot
Dependencies:
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Kernel Distance Weighted Discrimination | kerndwd-package |
BUPA's liver disorders data | BUPA |
cross-validation | cv.kerndwd |
solve Linear DWD and Kernel DWD | kerndwd |
Kernel Functions | anovadot 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 curve | plot.cv.kerndwd |
plot coefficients | plot.kerndwd |
predict class labels for new observations | predict.kerndwd |
fast tune procedure for DWD | tunedwd |