nsROC: An R package for Non-Standard ROC Curve Analysis
Sonia Pérez‐Fernández, Pablo Martínez‐Camblor, Peter Filzmoser, Norberto Corral · The R Journal · 2019
The receiver operating characteristic (ROC) curve is a graphical method which has become standard in the analysis of diagnostic markers, that is, in the study of the classification ability of a numerical variable.Most of the commercial statistical software provide routines for the standard ROC curve analysis.Of course, there are also many R packages dealing with the ROC estimation as well as other related problems.In this work we introduce the nsROC package which incorporates some new ROC curve procedures.Particularly: ROC curve comparison based on general distances among functions for both paired and unpaired designs; efficient confidence bands construction; a generalization of the curve considering different classification subsets than the one involved in the classical definition of the ROC curve; a procedure to deal with censored data in cumulative-dynamic ROC curve estimation for time-to-event outcomes; and a non-parametric ROC curve method for meta-analysis.This is the only R package which implements these particular procedures.