Measures the perturbation actually undergone by the table, and compares it with the theoretical expectation of Proposition 3 evaluated at each cell's own dominance. A close match is the natural consistency check: the mechanism is analytical, so the realised loss should track the predicted one.
Usage
assess_utility_empirical(x, by = NULL, thresholds = c(5, 10, 20))Arguments
- x
A table returned by
pm_perturb().- by
Optional column name(s) to break the summary down by (e.g. a publication stratum, or a dominance band built beforehand).
- thresholds
Relative deviations (in percent) whose exceedance rate is reported.