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) and the partial area under the curve as well as the true and false positive rate. The analysis of paired receiver operating curves is supported as well, so that a comparison of two predictors is possible. You can also plot the results and calculate confidence intervals. On a typical desktop computer the time needed for the calculation of 100000 bootstrap replicates given 500 observations requires time on the order of magnitude of one second.
Package details 


Author  Erik Peter [aut, cre] 
Date of publication  20160621 22:39:40 
Maintainer  Erik Peter <jerikpeter@googlemail.com> 
License  GPL2 
Version  0.4.0 
URL  http://www.epeterstats.de/roccurveanalysiswithfbroc/ 
Package repository  View on CRAN 
Installation 
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