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.
an arbitary array of ascending values between zero and one representing each value for which the
ece is to be evaluated
ece values calculated assuming the observations give precisely no information about the membership of the
ece values calculated from the likelihood ratios derived from the observations which are related to membership
values calculated from the likelihood ratios derived from a calibrated set using the function
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.
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