Description Usage Arguments Value Acknowledgements Note Author(s) References See Also Examples

Calculates the empirical cross-entropy for likelihood ratios from a sequence same and different item comparisons

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`LR.ss` |
array of likelihood ratios for same source item comparisons |

`LR.ds` |
array of likelihood ratios for different source item comparisons |

`prior` |
array of ordinates for the prior in ascending order, and between 0 and 1. Default is 99 divisions of 0.01 to 0.99 |

Returns an S4 object of class `ece`

The function to calculate the values of the likelihood ratio for the `calibrated.set`

draws heavily upon the `opt_loglr.m`

function from Niko Brummer's FoCal package for Matlab.

The empirical cross-entropy for a set of comparisons for items of known origin can be used as a measure of performance of the comparisons. This function takes the likelihood ratios.

David Lucy [email protected] - http://www.maths.lancs.ac.uk/~lucy

Ramos, D. & Gonzalez-Rodriguez, J. (2008) Cross-entropy analysis of the information in forensic speaker recognition; IEEE Odyssey.

Zadora, G. & Ramos, D. (2010) Evaluation of glass samples for forensic purposes - an application of likelihood ratio model and information-theoretical approach. *Chemometrics and Intelligent Laboratory*: **102**; 63-83.

`gpava`

`ece`

`calibrate.set`

`calc.ece`

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