Extract the values of sampler diagnostics for each iteration and
chain of MCMC. To instead get summaries of these diagnostics and associated
warning messages use the
$diagnostic_summary() method.
sampler_diagnostics(
inc_warmup = FALSE,
format = getOption("cmdstanr_draws_format", "draws_array")
)(logical) Should warmup draws be included? Defaults to FALSE.
(string) The draws format to return. See draws for details.
Depends on format, but the default is a 3-D
draws_array object (iteration x chain x
variable). The variables for Stan's default MCMC algorithm are
"accept_stat__", "stepsize__", "treedepth__", "n_leapfrog__",
"divergent__", "energy__".
if (FALSE) { # \dontrun{
fit <- cmdstanr_example("logistic")
sampler_diagnostics <- fit$sampler_diagnostics()
str(sampler_diagnostics)
library(posterior)
as_draws_df(sampler_diagnostics)
# or specify format to get a data frame instead of calling as_draws_df
fit$sampler_diagnostics(format = "df")
} # }