R: Simulates confidence intervals for binomial data

binom.sim {binom} | R Documentation

## Simulates confidence intervals for binomial data

### 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 (sdorairaj@gmail.com)

### See Also

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

### Examples

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

[Package binom version 1.1-1 Index]