Description Usage Arguments Value Examples
Calculate a binomial series lower confidence bound using Rice and Moore's (1983) method.
1 2 |
s |
Vector of successes. |
n |
Vector of sample sizes. |
alpha |
The significance level; to calculate a 100(1-α)% 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. |
The 100(1-α)% lower confidence bound.
1 | rice_moore(s=c(35, 97, 59), n=c(35, 100, 60), alpha=.10, MonteCarlo=1000)
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