Simulates confidence intervals for binomial data
Simulates binomial data for testing confidence interval coverage.
binom.sim(M = 200, n = 100, p = 0.5, conf.level = 0.95, methods = "all", ...)
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 |
M binomial observations are created using rbinom(M, n,
p). The average number of times a confidence interval covers
p is returned.
The estimated coverage based on which method is requested.
Sundar Dorai-Raj (sdorairaj@gmail.com)
binom.sim(p = 0.95, method = "lrt")
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