tprc: Test for a Proper ROC Curve
In parodistefano/properROC: Display and Analyze Proper ROC Curves
Description
Usage
Arguments
Value
Description
Calculate the test statistic (TPRC) for the departure from a
proper ROC model. TPRC is obtained as the difference between the observed
(empirical) AUC and the corresponding AUC obtained under a proper model
Usage
1
tprc(roctab, dor = -1)
Arguments
roctab
A ROC Table (S3 object derived from a S3 matrix)
dor
The Diagnostic Odds Ratio that defines the proper ROC curve
Value
tprc, the difference between the empirical and the theoretical AUC
under a proper model assumption
parodistefano/properROC documentation built on May 24, 2019, 6:16 p.m.
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Description Usage Arguments Value
Description
Calculate the test statistic (TPRC) for the departure from a proper ROC model. TPRC is obtained as the difference between the observed (empirical) AUC and the corresponding AUC obtained under a proper model
Usage
1 | tprc(roctab, dor = -1)
|
Arguments
roctab |
A ROC Table (S3 object derived from a S3 matrix) |
dor |
The Diagnostic Odds Ratio that defines the proper ROC curve |
Value
tprc, the difference between the empirical and the theoretical AUC under a proper model assumption
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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