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.

See Also

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

Aliases
  • binom.sim
Examples
binom.sim(p = 0.95, method = "lrt")
Documentation reproduced from package binom, version 1.1-1, License: GPL

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