ppc: Graphical posterior predictive checks

In jtimonen/lgpr: Longitudinal Gaussian Process Regression

Graphical posterior predictive checks

Description

Graphical posterior predictive checks

Usage

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().

jtimonen/lgpr documentation built on Oct. 12, 2023, 11:13 p.m.