eceplt
Empirical cross-entropy plot
eceplt(same, diff, lo = seq(-2.5, 2.5, by = 0.05), ...)crimlab.eceplt(same, diff, lo=None)crimlab eceplt --same VALUE --diff VALUE [--lo VALUE]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.
Parameters
Section titled “Parameters”sameLikelihood ratios from same-source comparisons: positive numbers.
diffLikelihood ratios from different-source comparisons: positive numbers.
loThe prior log10 odds to draw at.
...Passed to
graphics::plot().
Returns
Section titled “Returns”Invisibly, a data frame: lo, ece, min and ref.
References
Section titled “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
Examples
Section titled “Examples”eceplt(same = c(50, 200, 8, 0.5), diff = c(0.01, 0.2, 1.5, 0.001))Generated from the R help page: eceplt in the R reference.