R: Agresti-Coull CI for a binomial proportion based on adding...

addz2ci {PropCIs} | R Documentation

## Agresti-Coull CI for a binomial proportion based on adding z^2/2 successes and z^2/2 failures before computing the Wald CI

### Description

Agresti-Coull CI for a binomial proportion based on adding z^2/2 successes and z^2/2 failures before computing the Wald CI. The CI is truncated, when it overshoots the boundary.

### Usage

    addz2ci(x, n, conf.level)

### Arguments

`x` | number of successes
`n` | number of trials
`conf.level` | confidence coefficient

### Value

A list with class '"htest"' containing the following components:

`conf.int` | The confidence intervall for the proportion
`estimate` | The estimator for the proportion

### References

Agresti, A., Coull, B. (1998): Approximate is better than exact for interval estimation of binomial proportions. The American Statistician 52, 119–126.

### Examples

    addz2ci(x = 15, n = 112, conf.level = 0.95)

[Package PropCIs version 0.3-0 Index]