diagnostic_draws: Diagnostic values for each iteration

In bayestestR: Understand and Describe Bayesian Models and Posterior Distributions

Diagnostic values for each iteration

Description

Returns the accumulated log-posterior, the average Metropolis acceptance rate, divergent transitions, treedepth rather than terminated its evolution normally.

Usage

diagnostic_draws(posteriors, ...)

Arguments

posteriors	A stanreg, stanfit, brmsfit, or blavaan object.
...	Currently not used.

Examples

## Not run: 
set.seed(333)

if (require("brms", quietly = TRUE)) {
  model <- brm(mpg ~ wt * cyl * vs,
    data = mtcars,
    iter = 100, control = list(adapt_delta = 0.80),
    refresh = 0
  )
  diagnostic_draws(model)
}

## End(Not run)

bayestestR documentation built on April 7, 2023, 5:09 p.m.