posterior_interval: Posterior uncertainty intervals

In bayesforecast: Bayesian Time Series Modeling with Stan

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 < p < 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(1 - α/2)%, where α = 1-p. For example, if prob=0.9 is specified (a 90% interval), then the column names will be "5%" and "95%", respectively.

Author(s)

Asael Alonzo Matamoros

bayesforecast documentation built on June 17, 2021, 5:14 p.m.