Extract posterior predictive distribution — process_replications • HuraultMisc

Extract posterior predictive distribution

process_replications(
  fit,
  idx = NULL,
  parName,
  bounds = NULL,
  type = c("continuous", "discrete", "eti", "hdi"),
  ...
)

Arguments

fit: Stanfit object.
idx: Dataframe for translating the indices of the parameters into more informative variable (can be NULL).
parName: Name of the parameter to extract.
bounds: NULL or vector of length 2 representing the bounds of the distribution if it needs to be truncated.
type: Indicates how the distribution is summarised.
...: Parameters to be passed to extract_distribution().

Value

Dataframe.