Summary and plotting functions for threshold independent performance measures for probabilistic classifiers.
● Data Source:
CranContrib
● Keywords:
● Alias: AUC, AUC-package
●
4 images
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accuracy
(Package: AUC) :
Compute the accuracy curve.
This function computes the accuracy curve required for the auc function and the plot function.
● Data Source:
CranContrib
● Keywords:
● Alias: accuracy
●
0 images
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sensitivity
(Package: AUC) :
Compute the sensitivity curve.
This function computes the sensitivity curve required for the auc function and the plot function.
● Data Source:
CranContrib
● Keywords:
● Alias: sensitivity
●
0 images
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auc
(Package: AUC) :
Compute the area under the curve of a given performance measure.
This function computes the area under the sensitivity curve (AUSEC), the area under the specificity curve (AUSPC), the area under the accuracy curve (AUACC), or the area under the receiver operating characteristic curve (AUROC).
● Data Source:
CranContrib
● Keywords:
● Alias: auc
●
0 images
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specificity
(Package: AUC) :
Compute the specificity curve.
This function computes the specificity curve required for the auc function and the plot function.
● Data Source:
CranContrib
● Keywords:
● Alias: specificity
●
0 images
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AUCNews
(Package: AUC) :
Display the NEWS file
AUCNews shows the NEWS file of the AUC package.
● Data Source:
CranContrib
● Keywords:
● Alias: AUCNews
●
0 images
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plot.AUC
(Package: AUC) :
Plot the sensitivity, specificity, accuracy and roc curves.
This function plots the (partial) sensitivity, specificity, accuracy and roc curves.
● Data Source:
CranContrib
● Keywords:
● Alias: plot.AUC
●
4 images
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roc
(Package: AUC) :
Compute the receiver operating characteristic (ROC) curve.
This function computes the receiver operating characteristic (ROC) curve required for the auc function and the plot function.
● Data Source:
CranContrib
● Keywords:
● Alias: roc
●
0 images
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