Simulates confidence intervals for binomial data — binom.sim • binom

Simulates binomial data for testing confidence interval coverage.

binom.sim(M = 200, n = 100, p = 0.5, conf.level = 0.95, methods = "all",  ...)

Arguments

M: Number of simulations to create.
n: Vector of number of independent trials in the binomial experiment.
p: Probability of success under the null hypothesis.
conf.level: The level used in computing the confidence interval.
methods: The method used to compute power.
...: Additional arguments to pass to binom.confint

Details

M binomial observations are created using rbinom(M, n, p). The average number of times a confidence interval covers p is returned.

Value

The estimated coverage based on which method is requested.

Author

Sundar Dorai-Raj (sdorairaj@gmail.com)

See also

binom.confint, binom.bayes, binom.logit, binom.probit, binom.coverage

Examples

binom.sim(p = 0.95, method = "lrt")
#>      mean     lower     upper      width
#> lrt 0.925 0.8830696 0.9561327 0.08526419