liyistat/knnAUC: k-nearest neighbors AUC test

knnAUC : k-nearest neighbors AUC test.Testing dependence/correlation of two variables is one of the fundamental tasks in statistics.In this work, we proposed a new way of testing nonlinear dependence between one continuous variable (X) and one binary variable (Y).We addressed this research question by using R package 'knnAUC'.In the knnAUC framework, we first calculated the AUC estimator based on a k-nearest neighbors classifier, and then evaluate the significance of the AUC based statistic (Alternative hypothesis: AUC > 0.5, that is to say, X has prediction power for Y).

Getting started

Package details

Maintainer
LicenseGPL-2
Version3.0.2
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("liyistat/knnAUC")
liyistat/knnAUC documentation built on Nov. 25, 2018, 12:03 p.m.