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sdwd
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]
[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 22 Dec. 2024.
Previous versions and publish date:
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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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