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kerndwd  

Distance Weighted Discrimination (DWD) and Kernel Methods
View on CRAN: Click here


Download and install kerndwd package within the R console
Install from CRAN:
install.packages("kerndwd")

Install from Github:
library("remotes")
install_github("cran/kerndwd")

Install by package version:
library("remotes")
install_version("kerndwd", "2.0.3")



Attach the package and use:
library("kerndwd")
Maintained by
Boxiang Wang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-08-28
Latest Update: 2020-09-03
Description:
A novel implementation that solves the linear distance weighted discrimination and the kernel distance weighted discrimination. Reference: Wang and Zou (2018) .
How to cite:
Boxiang Wang (2015). kerndwd: Distance Weighted Discrimination (DWD) and Kernel Methods. R package version 2.0.3, https://cran.r-project.org/web/packages/kerndwd
Previous versions and publish date:
1.0.1 (2015-08-28 01:18), 1.1.1 (2015-09-06 16:07), 1.1.2 (2015-10-01 23:51), 2.0.0 (2017-05-24 06:25), 2.0.1 (2017-07-18 14:02), 2.0.2 (2018-04-21 22:21)
Other packages that cited kerndwd R package
View kerndwd citation profile
Other R packages that kerndwd depends, imports, suggests or enhances
Functions, R codes and Examples using the kerndwd R package
Some associated functions: BUPA . cv.kerndwd . dots . kerndwd-package . kerndwd . plot.cv.kerndwd . plot.kerndwd . predict.kerndwd . tunedwd . 
Some associated R codes: cv.kerndwd.R . kerndwd.R . kernels.R . plot.cv.kerndwd.R . plot.kerndwd.R . predict.kerndwd.R . tunedwd.R . utilities.R .  Full kerndwd package functions and examples
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