serieslcb (version 0.1.0)

bayes: Bayes' method

Description

Calculate a binomial series lower confidence bound using Bayes' method with a Beta prior distribution.

Usage

bayes(s, n, alpha, MonteCarlo, beta.a, beta.b, ...)

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.

beta.a

Shape1 parameter for the Beta prior distribution.

beta.b

Shape2 parameter for the Beta prior distribution.

...

Additional arguments to be ignored.

Value

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

Examples

# NOT RUN {
bayes(s=c(35, 97, 59), n=c(35, 100, 60), alpha=.10, MonteCarlo=1000, beta.a=1, beta.b=1)
# }