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r-proc

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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.

Installation

To install this package, run one of the following:

Conda
$conda install kite-eating-tree::r-proc

Usage Tracking

1.10.0
1.8
2 / 8 versions selected
Downloads (Last 6 months): 0

About

Summary

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.

Last Updated

Feb 2, 2018 at 22:46

License

GPL (>= 3)

Total Downloads

12

Supported Platforms

linux-64