A set of functions for receiver operating characteristic (ROC) curve estimation and area under the curve (AUC) calculation. All functions are designed to work with aggregated data; nevertheless, they can also handle raw samples. In 'ROCket', we distinguish two types of ROC curve representations: 1) parametric curves  the true positive rate (TPR) and the false positive rate (FPR) are functions of a parameter (the score), 2) functions  TPR is a function of FPR. There are several ROC curve estimation methods available. An introduction to the mathematical background of the implemented methods (and much more) can be found in de Zea Bermudez, Gonçalves, Oliveira & Subtil (2014) <https://www.ine.pt/revstat/pdf/rs140101.pdf> and Cai & Pepe (2004) <doi:10.1111/j.0006341X.2004.00200.x>.
Package details 


Author  Daniel Lazar [aut, cre] 
Maintainer  Daniel Lazar <dazar@gmx.net> 
License  GPL3 
Version  1.0.1 
URL  https://github.com/dazar/ROCket 
Package repository  View on CRAN 
Installation 
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