binom (version 1.1-1)

binom.sim: Simulates confidence intervals for binomial data

Description

Simulates binomial data for testing confidence interval coverage.

Usage

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

Value

The estimated coverage based on which method is requested.

Details

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

See Also

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

Examples

# NOT RUN {
binom.sim(p = 0.95, method = "lrt")
# }