Description Usage Arguments Details Value Author(s) Examples

This is the default AUC function for scalar d-primes, which will compute Area Under the ROC curve (ROC is an acronym for receiver operating characteristic) assuming a normal distribution for the underlying percepts.

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`d` |
a unit lenght vector with the value of d-prime for which AUC
is to be computed or a |

`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 |

`se.d` |
standard error of |

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

`...` |
additional arguments passed |

The AUC is computed using the standard normal distribution function
`pnorm`

.

Confidence limits are based on a normal approximation of
`d`

and not of AUC. The limits are computed,
if an estimate of the standard error of `d`

is provided. Note
that the limits do not take the uncertainty in estimating the scale
nor that of estimating the standard error of `d`

into account.

A print method is implemented for objects of class `AUC`

.

A list with components. If `se.d`

is supplied to the default
method or if a discrim object is supplied, the object contains the
latter three additional elements.

`value` |
the estimated value of AUC |

`res.int` |
the result from the call to |

`lower` |
the lower confidence limit |

`upper` |
the upper confidence limit |

`CI.alpha` |
echoes the provided |

Rune Haubo B Christensen

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