boot.tpr.at.fpr: Process bootstrapped TPR/FPR at thresholds matrix into TPR at...
In erikpeter/fbroc: Fast Algorithms to Bootstrap Receiver Operating Characteristics Curves
Description
Usage
Arguments
Value
See Also
Description
Usually fbroc calculates the TPR and FPR at the thresholds of the ROC curve.
per bootstrap replicate. This can be calculated quickly, but is often not convenient
to work with. Therefore boot.tpr.at.fpr instead gets the TPR along a sequence
of different values for the FPR.
Usage
1
boot.tpr.at.fpr(roc, steps = roc$n.neg)
Arguments
roc
Object of class fbroc.roc.
steps
Number of discrete steps for the FPR at which the TPR is
calculated. TPR confidence intervals are given for all FPRs in
seq(0, 1, by = (1 / steps)). Defaults to n.neg, thus covering all possible values.
Value
Matrix containing the TPR bootstrap replicates for the discrete
FPR steps.
See Also
erikpeter/fbroc documentation built on May 16, 2019, 8:42 a.m.
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Description Usage Arguments Value See Also
Description
Usually fbroc calculates the TPR and FPR at the thresholds of the ROC curve.
per bootstrap replicate. This can be calculated quickly, but is often not convenient
to work with. Therefore boot.tpr.at.fpr instead gets the TPR along a sequence
of different values for the FPR.
Usage
1 | boot.tpr.at.fpr(roc, steps = roc$n.neg)
|
Arguments
roc |
Object of class |
steps |
Number of discrete steps for the FPR at which the TPR is
calculated. TPR confidence intervals are given for all FPRs in
|
Value
Matrix containing the TPR bootstrap replicates for the discrete FPR steps.
See Also
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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