xtr_ci: Credible Intervals

In extras: Helper Functions for Bayesian Analyses

Credible Intervals

Description

Calculates Bayesian credible intervals (CI) using one of the available methods:

• "HDI": highest density interval (see xtr_ci_hdi()),

• "ETI": equal tailed intervals (see xtr_ci_eti()).

Usage

xtr_ci(x, level = 0.95, ..., type = "HDI", na_rm = FALSE)

Arguments

x	A numeric vector of MCMC samples.
level	A number > 0 and <= 1 specifying the probability coverage of the interval.
...	Currently unused.
type	A string indicating which type of CI to return. Currently allows Highest Density Intervals ("HDI"; default) and Equal-Tailed Intervals ("ETI").
na_rm	A flag indicating whether to remove missing values.

Value

A data.frame of the lower and upper limits for the credible interval. Note that the interval is not guaranteed to be one-sided or two-sided.

See Also

mcmcr::coef

Examples

xtr_ci(rnorm(1e4), type = "HDI")

extras documentation built on July 16, 2026, 1:07 a.m.