bayes {serieslcb} | R Documentation |
Calculate a binomial series lower confidence bound using Bayes' method with a Beta prior distribution.
bayes(s, n, alpha, MonteCarlo, beta.a, beta.b, ...)
s |
Vector of successes. |
n |
Vector of sample sizes. |
alpha |
The significance level; to calculate a 100(1- |
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. |
The 100(1-\alpha
)% lower confidence bound.
bayes(s=c(35, 97, 59), n=c(35, 100, 60), alpha=.10, MonteCarlo=1000, beta.a=1, beta.b=1)