# binom.sim

0th

Percentile

##### Simulates confidence intervals for binomial data

Simulates binomial data for testing confidence interval coverage.

Keywords
models, htest, univar
##### 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.

binom.confint, binom.bayes, binom.logit, binom.probit, binom.coverage
binom.sim(p = 0.95, method = "lrt")