Description Objects from the Class Slots Methods References See Also

Objects of class `"ece"`

are empirical cross-entropies.

Objects can be created by calls of the form `new("ece", ...)`

or, more commonly, via the `calc.ece`

function which is recommended.

`prior`

:an arbitary array of ascending values between zero and one representing each value for which the

`ece`

is to be evaluated`ece.null`

:`ece`

values calculated assuming the observations give precisely no information about the membership of the`ece`

:`ece`

values calculated from the likelihood ratios derived from the observations which are related to membership`ece.cal`

:values calculated from the likelihood ratios derived from a calibrated set using the function

`calibrate_set`

- plot
variation on the generic

`plot`

function to plot up all three sets of ece values

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`

`plot`

comparison documentation built on May 29, 2017, 9:08 a.m.

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