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sdwd  

Sparse Distance Weighted Discrimination
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("sdwd", "1.0.5")



Attach the package and use:
library("sdwd")
Maintained by
Boxiang Wang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-01-05
Latest Update: 2020-10-27
Description:
Formulates a sparse distance weighted discrimination (SDWD) for high-dimensional classification and implements a very fast algorithm for computing its solution path with the L1, the elastic-net, and the adaptive elastic-net penalties. More details about the methodology SDWD is seen on Wang and Zou (2016) ().
How to cite:
Boxiang Wang (2015). sdwd: Sparse Distance Weighted Discrimination. R package version 1.0.5, https://cran.r-project.org/web/packages/sdwd. Accessed 28 Jan. 2025.
Previous versions and publish date:
1.0.1 (2015-01-05 07:45), 1.0.2 (2015-08-05 17:32), 1.0.3 (2020-02-17 20:50), 1.0.4 (2020-09-04 00:20)
Other packages that cited sdwd R package
View sdwd citation profile
Other R packages that sdwd depends, imports, suggests or enhances
Complete documentation for sdwd
Functions, R codes and Examples using the sdwd R package
Some associated functions: coef.cv.sdwd . coef.sdwd . colon . cv.sdwd . plot.cv.sdwd . plot.sdwd . predict.cv.sdwd . predict.sdwd . print.sdwd . sdwd-internal . sdwd-package . sdwd . 
Some associated R codes: coef.sdwd.R . cv.sdwd.R . p.sdwd.R . sdwd.R . utilities.R .  Full sdwd package functions and examples
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