Learn R Programming
⚠️There's a newer version (1.19.0.1) of this package.Take me there.

pROC (version 1.0.1)

pROC

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.

Copy Link

Version

Install

install.packages('pROC')

Monthly Downloads

138,160

Version

1.0.1

License

GPL (>= 3)

Maintainer

Xavier Robin

Last Published

April 28th, 2010

Functions in pROC (1.0.1)

plot.roc

Plot a ROC curve
auc

Compute the area under the ROC curve
ci

Compute the confidence interval of a ROC curve
smooth.roc

Smooth a ROC curve
ci.auc

Compute the confidence interval of the AUC
plot.ci

Plot confidence intervals
pROC-package

pROC
roc

Build a ROC curve
coords

Coordinates of a ROC curve
aSAH

Subarachnoid hemorrhage data
roc.test

Compare the AUC of two correlated ROC curves
print

Print a ROC curve object
ci.thresholds

Compute the confidence interval of thresholds
ci.sp

Compute the confidence interval of specificities at given sensitivities
ci.se

Compute the confidence interval of sensitivities at given specificities