HPDint: Highest Posterior Density Interval

In rmsb: Bayesian Regression Modeling Strategies

Highest Posterior Density Interval

Description

Adapts code from coda::HPDinterval() to compute a highest posterior density interval from posterior samples for a single parameter. Quoting from the coda help file, for each parameter the interval is constructed from the empirical cdf of the sample as the shortest interval for which the difference in the ecdf values of the endpoints is the nominal probability. Assuming that the distribution is not severely multimodal, this is the HPD interval.

Usage

HPDint(x, prob = 0.95)

Arguments

x	a vector of posterior draws
prob	desired probability coverage

Value

a 2-vector with elements Lower and Upper

Author(s)

Douglas Bates and Frank Harrell

rmsb documentation built on Sept. 11, 2024, 8:12 p.m.