Description Usage Arguments Value
View source: R/auc_functions.R
This function is nearly verbatim ci.cvAUC from the cvAUC package. The only difference is that it additionally returns estimated influence functions.
1 2 | ci.cvAUC_withIC(predictions, labels, label.ordering = NULL,
folds = NULL, confidence = 0.95)
|
predictions |
A vector, matrix, list, or data frame containing the predictions. |
labels |
A vector, matrix, list, or data frame containing the true class labels. Must have the
same dimensions as |
label.ordering |
The default ordering of the classes can be changed by supplying a vector containing the negative and the positive class label (negative label first, positive label second). |
folds |
If specified, this must be a vector of fold ids equal in length to |
confidence |
number between 0 and 1 that represents confidence level. |
A list containing the following named elements:
cvAUC |
Cross-validated area under the curve estimate. |
se |
Standard error. |
ci |
A vector of length two containing the upper and lower bounds for the confidence interval. |
confidence |
A number between 0 and 1 representing the confidence. |
ic |
A vector of the influence function evaluated at observations. |
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