boot.tpr.at.fpr

Number of discrete steps for the FPR at which the TPR is
calculated. TPR confidence intervals are given for all FPRs in
<code>seq(0, 1, by = (1 / steps))</code>. Defaults to <code>n.neg</code>, thus covering all possible values.

steps

Usually <code>fbroc</code> 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 <code>boot.tpr.at.fpr</code> instead gets the TPR along a sequence
of different values for the FPR.

Implements a very fast C++ algorithm to quickly bootstrap 
    receiver operating characteristics (ROC) curves and derived performance metrics, including the area under the 
    curve (AUC) as well as the true and false positive rate. 
    You can also plot the results and calculate confidence intervals.
    Currently the calculation of 100000 bootstrap replicates for 500 observations 
    takes about one second.

boot.tpr.at.fpr: Process bootstrapped TPR/FPR at thresholds matrix into TPR at FPR matrix

Description

Usage

Arguments

Value

See Also