empiricalHpd {bfp} | R Documentation |
Construct an empirical HPD interval from samples
Description
Construct an empirical highest posterior density (HPD) interval from samples which have been drawn from the distribution of a quantity of interest.
Usage
empiricalHpd(theta, level)
Arguments
theta |
the vector of samples |
level |
the credible level |
Value
A vector with the estimated lower and upper bounds of the HPD interval.
Author(s)
Daniel Saban\'es Bov\'e
Examples
## draw standard normal variates
test <- rnorm(n=1000)
## estimate the 95% HPD interval with these samples:
empiricalHpd(theta=test, level=0.95)
## compare with true HPD:
qnorm(p=c(0.025, 0.975))
[Package bfp version 0.0-48 Index]