diagnostic_draws {bayestestR} | R Documentation |
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 |
... |
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)
}
[Package bayestestR version 0.14.0 Index]