Graphical posterior predictive checks — ppc • lgpr

Graphical posterior predictive checks

ppc(fit, data = NULL, fun = default_ppc_fun(fit), verbose = TRUE, ...)

Arguments

fit: An object of class lgpfit that can been created with sample_f=TRUE.
data: the original data frame (deprecated argument with no effect, now obtained from fit object)
fun: bayesplot function name
verbose: Can this print any messages?
...: additional arguments passed to the default pp_check method in bayesplot

Value

a ggplot object

See also

Introduction to graphical posterior predictive checks: here. Prior predictive check can be done by calling prior_pred and then bayesplot::pp_check().