bayes_nlg function

Bayesian method (Negative Log Gamma Prior)

Caclulate a binomal series lower confidence bound using Bayes' method with negative log gamma priors on the components, defined such that the prior on the system is a uniform distribution.

bayes_nlg(s, n, alpha, MonteCarlo, ...)

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.
• ...: Additional arguments to be ignored.

Returns

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

Examples

bayes_nlg(s=c(35, 97, 59), n=c(35, 100, 60), alpha=.10, MonteCarlo=1000)