binom.sim: Simulates confidence intervals for binomial data

In binom: Binomial Confidence Intervals For Several Parameterizations

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

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(s)

Sundar Dorai-Raj ([e-mail])

See Also

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

Examples

binom.sim(p = 0.95, method = "lrt")

Example output

    mean     lower     upper      width
lrt 0.91 0.8651434 0.9444351 0.08458835

binom documentation built on May 2, 2019, 5:16 p.m.