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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