summary.posterior: Summarize the Posterior Distributions of Model Statistics

In tidyposterior: Bayesian Analysis to Compare Models using Resampling Statistics

Summarize the Posterior Distributions of Model Statistics

Description

Numerical summaries are created for each model including the posterior mean and upper and lower credible intervals (aka uncertainty intervals).

Usage

## S3 method for class 'posterior'
summary(object, prob = 0.9, seed = sample.int(10000, 1), ...)

Arguments

object	An object produced by tidy.perf_mod().
prob	A number p (0 < p < 1) indicating the desired probability mass to include in the intervals.
seed	A single integer for sampling from the posterior.
...	Not currently used

Value

A data frame with summary statistics and a row for each model.

Examples

data("ex_objects")

summary(posterior_samples)

tidyposterior documentation built on Oct. 12, 2023, 1:07 a.m.