chao_huwang {serieslcb} | R Documentation |
Chao-Huwang method
Description
Calculate a binomial series lower confidence bound using Chao and Huwang's (1987) method.
Usage
chao_huwang(s, n, alpha, MonteCarlo, ...)
Arguments
s |
Vector of successes. |
n |
Vector of sample sizes. |
alpha |
The significance level; to calculate a 100(1- |
MonteCarlo |
Number of samples to draw from the posterior distribution for the Monte Carlo estimate. |
... |
Additional arguments to be ignored. |
Value
The 100(1-\alpha
)% lower confidence bound.
Examples
chao_huwang(s=c(35, 97, 59), n=c(35, 100, 60), alpha=.10, MonteCarlo=1000)
[Package serieslcb version 0.4.0 Index]