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

Infer the area of region under ordinal dominance curve with pre-specific FNR constraint (FNR-pODC). See Yang et al., 2017 for details.

1 | ```
podc.ci(response, predictor, cp = 0.95, threshold = 0.9, method = "MW")
``` |

`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. |

`cp` |
numeric; coverage probability of confidence interval. |

`threshold` |
numeric; false negative rate (FNR) constraint. |

`method` |
methods to estimate partial ODC. |

This function infers FNR partial ODC given response, predictor and pre-specific FNR constraint.
`MW`

: Mann-Whitney statistic. `expect`

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

: jackknife method in Yang et al., 2017.

Confidence interval of FNR partial ODC.

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

1 2 3 |

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