Description Usage Arguments Details Value Author(s) Examples

Calculates the area under the curve given a function or a fitted model.

1 2 3 4 5 6 |

`x` |
a function with range and domain in ROC space (default method) or an object of class |

`fpr` |
numeric vector, points on which the (S)ROC curve is evaluated |

`level` |
numeric, confidence level for the calculations of confidence intervals. |

`sroc.type` |
character, which SROC curve should be used to calculate the AUC? Besides the default |

`...` |
further arguments, currently not used. |

The area under the curve is calculated using the trapezoidal rule. The argument `fpr`

is the grid on which the (S)ROC curve is evaluated. In many cases the default grid will contain points on which the SROC curve can only be calculated by extrapolation; however if only a subinterval is specified a *partial AUC* is calculated and the AUC value might differ substantially.

For `phm`

objects the AUC and its confidence interval is calculated analytically, for `reitsma`

objects a call to the default method is invoked.

An object of the class `AUC`

which is really a list with component `AUC`

and an optional component `ci`

, which is currently only available from the `AUC`

method for `phm`

ojects.

Philipp Doebler <[email protected]>

1 2 |

```
Loading required package: mvtnorm
Loading required package: ellipse
Loading required package: mvmeta
This is mvmeta 0.4.7. For an overview type: help('mvmeta-package').
$AUC
theta
0.9219722
$ci
2.5 % 97.5 %
0.9546996 0.8914143
$pAUC
theta
0.8910829
$pci
2.5 % 97.5 %
0.9371338 0.8476530
attr(,"class")
[1] "AUC"
```

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