The information a set of likelihood ratios still leaves missing, across
prior odds: for the ratios as reported, for the same ratios after
calibration, and for a system that always reports 1. Reported ratios above
the last curve do harm at that prior. At even prior odds the first two
curves pass through the values of cllrmin(). proof() records no
theorem for this plot.
Usage
eceplt(same, diff, lo = seq(-2.5, 2.5, by = 0.05), ...)Arguments
- same
Likelihood ratios from same-source comparisons: positive numbers.
- diff
Likelihood ratios from different-source comparisons: positive numbers.
- lo
The prior log10 odds to draw at.
- ...
Passed to
graphics::plot().
References
Ramos, D. and Gonzalez-Rodriguez, J. (2013). Reliable support: measuring calibration of likelihood ratios. Forensic Science International, 230(1-3), 156-169. doi:10.1016/j.forsciint.2013.04.014
