bayes: Bayesian method

In serieslcb: Lower Confidence Bounds for Binomial Series System

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-α)% 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-α)% lower confidence bound.

Examples

bayes(s=c(35, 97, 59), n=c(35, 100, 60), alpha=.10, MonteCarlo=1000, beta.a=1, beta.b=1)

serieslcb documentation built on July 9, 2019, 9:03 a.m.