Join us for
RADAR: AI Edition

bayesforecast (version 1.0.1)

posterior_interval: Posterior uncertainty intervals

Description

The posterior_interval function computes Bayesian posterior uncertainty intervals. These intervals are often referred to as credible intervals, for more details see rstanarm

Usage

posterior_interval(mat, prob = 0.9, ...)

Arguments

mat

a matrix containing the posterior samples of a fitted parameter

prob

A number p(0,1) indicating the desired probability mass to include in the intervals. The default is to report 90% intervals (prob=0.9) rather than the traditionally used 95%.

...

Further arguments passed to posterior_intervals.

Value

A matrix with two columns and as many rows as model parameters (or the subset of parameters specified by pars and/or regex_pars). For a given value of prob, p, the columns correspond to the lower and upper 100*p% interval limits and have the names 100α/2 and 100(1α/2)%, where α=1p. For example, if prob=0.9 is specified (a 90% interval), then the column names will be "5%" and "95%", respectively.