serieslcb (version 0.1.0)

normal_approximation: Normal approximation method

Description

Calculate a binomial series lower confidence bound using a normal approximation with MLE estimates.

Usage

normal_approximation(s, n, alpha, ...)

Arguments

s

Vector of successes.

n

Vector of sample sizes.

alpha

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

...

Additional arguments to be ignored.

Value

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

Examples

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