calibrate.set: Calculate the calibrated set of idea LRs

In jmcurran/comparison: Multivariate Likelihood Ratio Calculation and Evaluation

Description

Calculates and returns the calibrated set of ideal' LRs from the observed LRs using the penalised adjacent violators algorithm. This is very much a rewrite of Nico Brummer's optloglr()' function for Matlab.

Usage

calibrate.set(LR.ss, LR.ds, method = c("raw", "laplace"))

Arguments

LR.ss	a vector of likelihood ratios for the comparisons of items known to be from the same source
LR.ds	a vector of likelihood ratios for the comparisons of items known to be from different sources
method	the method used to perform the calculation, either "raw" or "laplace"

Details

This is an internal function, and is not meant to be called directly. However it has been exported just in case.

Value

a list with two items:

LR.cal.ss

calibrated LRs for the comparison for same set

LR.cal.ds

calibrated LRs for the comparison for different set

Author(s)

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.

See Also

isotone::gpava(), calc.ece()

jmcurran/comparison documentation built on Aug. 25, 2020, 10:44 a.m.