Description Usage Arguments Details Value Author(s) References See Also Examples
Calculates the empirical cross-entropy (ECE) for likelihood ratios from a sequence same and different item comparisons.
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LR.ss |
a vector of likelihood ratios (LRs) from same source calculations |
LR.ds |
a vector of LRs from different source calculations |
prior |
a vector of ordinates for the prior in ascending order, and between 0 and 1. Default is 99 divisions of 0.01 to 0.99. |
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.
Returns an S3 object of class ece
David Lucy
@references D. Ramos and J. Gonzalez-Rodrigues, (2008) "Cross-entropy analysis of the information in forensic speaker recognition," in Proc. IEEE Odyssey, Speaker Lang. Recognit. Workshop. 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.
isotone::gpava()
, calibrate.set()
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