diagnostic_draws: Diagnostic values for each iteration

In easystats/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(posterior, ...)

Arguments

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

Examples

set.seed(333)

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

easystats/bayestestR documentation built on Dec. 20, 2024, 8:11 p.m.