Description Usage Arguments Details Value Author(s) Examples

The function computes and plots the empirical ROC (receiver operating characteristic) curve.

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`object` |
the class of the object defines, which of the methods is
invoked. If obejct is a single element numeric vector it is taken as
a d-prime value and the default method is invoked. If the object is
of class |

`se.d` |
a unit length vector with the standard error of d-prime. If supplied confidence intervals or standard errors are plotted |

`scale` |
a unit length vector giving the ratio of scale (ie. standard deviation) of the latent distribution for the no-class items relative to that of the yes-class items |

`length` |
the length of the vectors to be plotted. Longer vectors gives more smooth curves. |

`fig` |
Should a plot be produced? |

`se.type` |
The type of band for the ROC curve, |

`CI.alpha` |
the type I level of the confidence interval of AUC |

`...` |
additional arguments to |

The function currently ignores the variance of the scale in the computation of the uncertainty of the ROC curve.

The function makes a plot of the ROC curve, and if `se.d`

is
supplied, standard errors or confidence intervals for the curve are
added to the plot.

The function also (invisibly) returns a list with the following components

`ROCx` |
x-coordinates to the ROC curve |

`ROCy` |
y-coordinates to the ROC curve |

If `se.d`

is supplied, the object also contains

`lower` |
y-coordinates to the lower limit |

`upper` |
y-coordinates to the upper limit |

Rune Haubo B Christensen

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