kerndwd: Distance Weighted Discrimination (DWD) and Kernel Methods

A novel implementation that solves the DWD and the kernel DWD which can be hundred times faster than the existing implementation of DWD based on the second-order-cone programming (SOCP). The package also handles some other general loss functions including large-margin unified machines (LUM).

Install the latest version of this package by entering the following in R:
install.packages("kerndwd")
AuthorBoxiang Wang <boxiang@umn.edu>, Hui Zou <hzou@stat.umn.edu>
Date of publication2015-10-01 23:51:22
MaintainerBoxiang Wang <boxiang@umn.edu>
LicenseGPL-2
Version1.1.2

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Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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