Posterior Predictive Checks for DRM Models

Generates posterior predictive check plots comparing observed data to simulated data from the posterior predictive distribution.

Usage

ppc(x, ...)

# S3 method for class 'drmrmodels'
ppc(
  x,
  type = c("density", "ecdf"),
  npost = 50,
  transform = c("none", "log1p"),
  ...
)

x: An object of class drmrmodels.
...: Additional graphical parameters passed to plot.
type: Character string indicating the type of plot: "density" (default) or "ecdf".
npost: Integer specifying the number of posterior draws to plot. Default is 50. Usually, we do not use the total number of draws here because the plot tends to get too heavy.
transform: Character string specifying the scale for plotting. Either "none" (default) or "log1p".