serieslcb (version 0.1.0)

rice_moore: Rice and Moore's method

Description

Calculate a binomial series lower confidence bound using Rice and Moore's (1983) method.

Usage

rice_moore(s, n, alpha, MonteCarlo, f.star = 1.5 - min(n) + 0.5 * sqrt((3 - 2
  * min(n))^2 - 4 * (min(n) - 1) * log(alpha) * qchisq(p = alpha, df = 2)), ...)

Arguments

s

Vector of successes.

n

Vector of sample sizes.

alpha

The significance level; to calculate a 100(1-\(\alpha\))% lower confidence bound.

MonteCarlo

Number of samples to draw from the posterior distribution for the Monte Carlo estimate.

f.star

The number of psuedo-failures to use for a component that exhibits zero observed failures. The default value is from the log-gamma procedure proposed by Gatliffe (1976), and is the value used by Rice and Moore.

...

Additional arguments to be ignored.

Value

The 100(1-\(\alpha\))% lower confidence bound.

Examples

# NOT RUN {
rice_moore(s=c(35, 97, 59), n=c(35, 100, 60), alpha=.10, MonteCarlo=1000)
# }