logistic.calibrate.set {comparison}

Calculate the calibrated set of LRs with the logistic regression

Description

Calculate the calibrated set of LRs with the logistic regression

Usage

logistic.calibrate.set(LR.ss, LR.ds)

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

Value

a list with multiple items:

prior.odds

prior odds for the input data

coefficients

coefficients of the fitted model

data

The input and calibrated data

LR.cal.ss

The calibrated data for the same source list

LR.cal.ds

The calibrated data for the different-sources list

Author(s)

Marco De Donno

See Also

logistic.apply.calibration()

Examples

LR.same = c(0.5, 2, 4, 6, 8, 10)              # the list of LRs for the same source proposition
LR.different = c(0.2, 0.4, 0.6, 0.8, 1.1)     # the list of LRs for the different source proposition
logistic.calibrate.set(LR.same, LR.different) # compute the logistic calibration on the data