binom.sim
From binom v1.11
by Sundar DoraiRaj
Simulates confidence intervals for binomial data
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.
See Also
binom.confint
, binom.bayes
,
binom.logit
, binom.probit
, binom.coverage
Examples
binom.sim(p = 0.95, method = "lrt")
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