add4ci {PropCIs} | R Documentation |
Agresti-Coull add-4 CI for a binomial proportion
Description
Agresti-Coull add-4 CI for a binomial proportion, based on adding 2 successes and 2 failures before computing the Wald CI. The CI is truncated, when it overshoots the boundary
Usage
add4ci(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.
Agresti, A., Caffo, B.(2000) Simple and effective confidence intervals for proportions and difference of proportions result from adding two successes and two failures. The American Statistician 54 (4), 280–288.
Examples
add4ci(x = 15, n = 112, conf.level = 0.95)
[Package PropCIs version 0.3-0 Index]