summary.posterior: 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 posterior
summary(object, prob = 0.9, seed = sample.int(10000, 1), ...)
Arguments
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.
Value
A data frame with summary statistics and a row for
each model.
Examples
Run this code# NOT RUN {
data("ex_objects")
summary(posterior_samples)
# }
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