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pROC (version 1.1)

display and analyze ROC curves

Description

Tools for visualizing, smoothing and comparing receiver operating characteristic (ROC curves). (Partial) area under the curve (AUC) can be compared with statistical tests based on U-statistics or bootstrap. Confidence intervals can be computed for (p)AUC or ROC curves.

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Version

Install

install.packages('pROC')

Monthly Downloads

173,763

Version

1.1

License

GPL (>= 3)

Maintainer

Xavier Robin

Last Published

May 6th, 2010

Functions in pROC (1.1)

aSAH

Subarachnoid hemorrhage data
auc

Compute the area under the ROC curve
ci.thresholds

Compute the confidence interval of thresholds
ci

Compute the confidence interval of a ROC curve
roc.test

Compare the AUC of two correlated ROC curves
coords

Coordinates of a ROC curve
pROC-package

pROC
ci.auc

Compute the confidence interval of the AUC
ci.sp

Compute the confidence interval of specificities at given sensitivities
lines.roc

Add a ROC line to a ROC plot
ci.se

Compute the confidence interval of sensitivities at given specificities
print

Print a ROC curve object
plot.ci

Plot confidence intervals
smooth.roc

Smooth a ROC curve
roc

Build a ROC curve
plot.roc

Plot a ROC curve