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DWDLargeR  

Fast Algorithms for Large Scale Generalized Distance Weighted Discrimination
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("DWDLargeR", "0.2-0")



Attach the package and use:
library("DWDLargeR")
Maintained by
Xin-Yee Lam
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-02-06
Latest Update: 2018-02-06
Description:
Solving large scale distance weighted discrimination. The main algorithm is a symmetric Gauss-Seidel based alternating direction method of multipliers (ADMM) method. See Lam, X.Y., Marron, J.S., Sun, D.F., and Toh, K.C. (2018) for more details.
How to cite:
Xin-Yee Lam (2018). DWDLargeR: Fast Algorithms for Large Scale Generalized Distance Weighted Discrimination. R package version 0.2-0, https://cran.r-project.org/web/packages/DWDLargeR. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1-0 (2018-02-06 11:48)
Other packages that cited DWDLargeR R package
View DWDLargeR citation profile
Other R packages that DWDLargeR depends, imports, suggests or enhances
Complete documentation for DWDLargeR
Functions, R codes and Examples using the DWDLargeR R package
Some associated functions: DWDLargeR-internal . DWDLargeR-package . genDWD . mushrooms . penaltyParameter . 
Some associated R codes: genDWD.R . penaltyParameter.R .  Full DWDLargeR package functions and examples
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