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.
|Author||Erik Peter [aut, cre]|
|Date of publication||2016-06-21 22:39:40|
|Maintainer||Erik Peter <email@example.com>|
boot.paired.roc: Bootstrap paired ROC curves
boot.roc: Bootstrap ROC curve
boot.tpr.at.fpr: Process bootstrapped TPR/FPR at thresholds matrix into TPR at...
conf: Generic S3 function to calculate confidence regions for ROC...
conf.fbroc.paired.roc: Generates confidence intervals for the difference in TPR...
conf.fbroc.roc: Generates confidence intervals for the TPR for a range of...
extract.roc: Extracts one from two paired ROC curves from a...
fbroc: fbroc: A package for fast bootstrap analysis and comparison...
perf: Generic S3 function to calculate performance estimates for...
perf.fbroc.paired.roc: Calculate performance for paired bootstrapped ROC curves
perf.fbroc.roc: Calculate performance for bootstrapped ROC curve
plot.fbroc.conf: Plots function for object of classfbroc.conf
plot.fbroc.conf.paired: Plots function for object of class 'fbroc.conf.paired'
plot.fbroc.paired.roc: Plots a 'fbroc.paired.roc' object
plot.fbroc.perf: Plots ROC based performance metric as histogram
plot.fbroc.perf.paired: Plots the difference between the bootstrapped performance...
plot.fbroc.roc: Plots a 'fbroc.roc' object
print.fbroc.perf: Prints information about a 'fbroc.perf' object
print.fbroc.perf.paired: Prints information about a 'fbroc.perf.paired' object
print.fbroc.roc: Prints information about a 'fbroc.roc' object
roc.examples: Examples of predictions for ROC curve construction