fci.binom: Abstract Randomized P-value for the Binomial Distribution

In ump: Uniformly Most Powerful Tests

Description

Calculate the abstract randomized P-value for the UMPU two-tailed test for the binomial distribution.

Usage

fci.binom(x, n, alpha = 0.05, p = seq(0, 1, length = 10001), flat = 1 / 4)

Arguments

x	binomial observation.
n	number of observations.
alpha	the significance level, one minus the coverage probability.
p	the vector of parameter values at which (the membership function of) the fuzzy confidence interval is evaluated.
flat	the amount of flat parts of the membership function shown, expressed as a fraction of the curved parts.

Details

prints the core and support of the fuzzy confidence interval and makes one or two plots (as appropriate) showing the edges of the fuzzy interval.

Value

none

Examples

library(ump)
fci.binom(4, 10)
fci.binom(0, 10)
fci.binom(9, 10)

ump documentation built on May 1, 2019, 11:10 p.m.