Description Usage Arguments Details Examples
In general, the function passed to sl_control$cv_risk
should expect a list
of outcomes and predictions in validation folds. The function should return a
list with names cv_measure, ci_low, ci_high, and p_value. The output of this function
is returned irrespective of the names of the list; however, the names are
necessary for print
methods to work properly.
1 | cv_risk_sl_auc(input, sl_control)
|
input |
List where each entry corresponds to a validation fold. Each entry is a list
with entries: Y (univariate outcome for this validation fold), pred (matrix of predictions
from |
sl_control |
List of super learner control options. |
In this case, the confidence intervals are computed using the cvAUC::cvAUC.ci
function from the cvAUC
package. The p-value
is for the one-sided hypothesis test that cross-validated AUC equals 0.5 against
the alternative that it is greater than 0.5.
1 2 3 4 5 6 7 8 9 |
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