walker (version 1.0.10)

pp_check.walker_fit: Posterior predictive check for walker object

Description

Plots sample quantiles from posterior predictive sample.

Usage

# S3 method for walker_fit
pp_check(object, ...)

Arguments

object

An output from walker().

...

Further parameters to bayesplot::ppc_ribbon().

Details

For other types of posterior predictive checks for example with bayesplot, you can extract the variable yrep from the output, see examples.

Examples

if (FALSE) {
# Extracting the yrep variable for general use:
# extract yrep
y_rep <- extract(object$stanfit, pars = "y_rep", permuted = TRUE)$y_rep

# For non-gaussian model:
weights <- extract(object$stanfit, 
pars = "weights", permuted = TRUE)$weights
y_rep <- y_rep[sample(1:nrow(y_rep), 
  size = nrow(y_rep), replace = TRUE, prob = weights), , drop = FALSE]
}