ComputeHDI: Compute HDI

In bfw: Bayesian Framework for Computational Modeling

Compute HDI

Description

Compute highest density interval (HDI) from posterior output

Usage

ComputeHDI(data, credible.region)

Arguments

data	data to compute HDI from
credible.region	summarize uncertainty by defining a region of most credible values (e.g., 95 percent of the distribution), Default: 0.95

Details

values within the HDI have higher probability density than values outside the HDI, and the values inside the HDI have a total probability equal to the credible region (e.g., 95 percent).

Value

Return HDI

Examples

set.seed(1)
data <-rnorm(100,0,1)
credible.region <- 0.95
ComputeHDI(data,credible.region)
# HDIlo HDIhi
# -1.99 1.60

bfw documentation built on March 18, 2022, 6:19 p.m.