KnnAUC: an open-source R package for detecting nonlinear dependence between one continuous variable and one binary variable.

ABSTRACT:

Background

Testing the dependence of two variables is one of the fundamental tasks in statistics. In this work, we developed an open-source R package (knnAUC) for detecting nonlinear dependence between one continuous variable X and one binary dependent variables Y (0 or 1).

Results

We addressed this problem by using knnAUC (k-nearest neighbors AUC test, the R package is available at https://sourceforge.net/projects/knnauc/ ). In the knnAUC software framework, we first resampled a dataset to get the training and testing dataset according to the sample ratio (from 0 to 1), and then constructed a k-nearest neighbors algorithm classifier to get the yhat estimator (the probability of y = 1) of testy (the true label of testing dataset). Finally, we calculated the AUC (area under t

SUBMITTER: Li Y 

PROVIDER: S-EPMC6249767 | biostudies-literature | 2018 Nov

REPOSITORIES: biostudies-literature