Simulate the highest density interval (HDI) width for a beta posterior.

Simulate the highest density interval (HDI) width for a beta posterior.

Usage

probOfPosteriorCIwidth(
  genPriorMean,
  genPriorN,
  sampleSize,
  audPriorMean = 0.5,
  audPriorN = 2,
  CImass = 0.95
)

Arguments

genPriorMean

The mean of the generating distribution.

genPriorN

The sum of the generating distributions shape parameters.

sampleSize

The number of samples.

audPriorMean

The mean of the prior for analysis.

audPriorN

The sum of the prior's shape parameters or sample size on which the prior is based.

CImass

The desired mass of the highest density interval (HDI).

Value

A dataframe with columns n and HDIwidth.