Description Usage Arguments Details Value Author(s) See Also Examples

Estimate the area of region under ROC curve with pre-specific FPR constraint (FPR-pAUC). See Yang et al., 2017 for details.

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`response` |
a factor, numeric or character vector of responses; typically encoded with 0 (negative) and 1 (positive). Only two classes can be used in a ROC curve. If its levels are not 0 and 1, the first level will be defaultly regarded as negative. |

`predictor` |
a numeric vector of the same length than response, containing the predicted value of each observation. An ordered factor is coerced to a numeric. |

`threshold` |
numeric; false positive rate (FPR) constraint. |

`method` |
methods to estimate FPR-pAUC. |

`smooth` |
if |

This function estimates FPR partial AUC given response, predictor and pre-specific FPR constraint.
`MW`

: Mann-Whitney statistic. `expect`

: method in (2.2) Wang and Chang, 2011. `jackknife`

: jackknife method in Yang et al., 2017.

Estimate of FPR partial AUC.

Hanfang Yang, Kun Lu, Xiang Lyu, Feifang Hu, Yichuan Zhao.

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