fbroc: Fast Algorithms to Bootstrap Receiver Operating Characteristics Curves

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.

AuthorErik Peter [aut, cre]
Date of publication2016-06-21 22:39:40
MaintainerErik Peter <jerikpeter@googlemail.com>
LicenseGPL-2
Version0.4.0
http://www.epeter-stats.de/roc-curve-analysis-with-fbroc/

View on CRAN

Functions

boot.paired.roc Man page
boot.roc Man page
boot.tpr.at.fpr Man page
conf Man page
conf.fbroc.paired.roc Man page
conf.fbroc.roc Man page
extract.roc Man page
fbroc Man page
fbroc-package Man page
perf Man page
perf.fbroc.paired.roc Man page
perf.fbroc.roc Man page
plot.fbroc.conf Man page
plot.fbroc.conf.paired Man page
plot.fbroc.paired.roc Man page
plot.fbroc.perf Man page
plot.fbroc.perf.paired Man page
plot.fbroc.roc Man page
print.fbroc.perf Man page
print.fbroc.perf.paired Man page
print.fbroc.roc Man page
roc.examples Man page

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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