Confidence curves and improved exact confidence intervals for discrete distributions

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An imprecise-probabilistic characterization of frequentist statistical inference (2021, background): “In fact, the fused plausibility contour is exactly the “acceptability function” developed in Blaker (2000), hence, the corresponding plausibility interval is the same as Blaker’s interval, which has been previously shown to be a significant improvement over the classical Clopper–Pearson interval.”
The cost of using exact confidence intervals for a binomial proportion (2013, methodology): “A more efficient implementation of Blaker’s interval is found in the R package BlakerCI [16].”
Generalised Clopper–Pearson confidence intervals for the binomial proportion (2006, methodology): “Recently, Blaker [6] reviewed these intervals and developed a new method which is attractive in the sense of possessing a sensible nesting condition.”