roc.examples

Contains simulated data that can be used as examples for generating ROC curves. Both a continuous
and a discrete predictor are included. For both cases there is a version with outliers and one
without.

datasets

Implements a very fast C++ algorithm to quickly bootstrap 
    receiver operating characteristics (ROC) curves and derived performance metrics, including the area under the 
    curve (AUC) as well as the true and false positive rate. 
    You can also plot the results and calculate confidence intervals.
    Currently the calculation of 100000 bootstrap replicates for 500 observations 
    takes about one second.

roc.examples: Examples of predictions for ROC curve construction

Description

Usage

Arguments