Plot a Bayesian (brms) indifference-point discounting model — plot.beezdiscounting

Visualize a fitted fit_dd_brms() model. type = "population" (default) draws the posterior-median discount curve with a credible band for the population conditional mean (random effects set to zero – a credible band, not a posterior-predictive band) over the observed (boundary-squeezed) indifference points; type = "individual" adds per-subject median curves; type = "parameters" shows the posterior subject-k caterpillar; type = "resid" plots standardized residuals against fitted values.

Usage

# S3 method for class 'beezdiscounting_brms'
plot(
  x,
  type = c("population", "individual", "parameters", "resid"),
  ids = NULL,
  at = NULL,
  n_points = 200,
  x_trans = c("log10", "linear"),
  show_observed = TRUE,
  ...
)

Arguments

x: A beezdiscounting_brms object.
type: One of "population", "individual", "parameters", "resid".
ids: Optional subset of subject ids for type = "individual".
at: Optional named list conditioning the population curve on factor levels / covariate values.
n_points: Number of delay points in the curve grid.
x_trans: Delay-axis scale: "log10" (default) or "linear".
show_observed: Overlay the observed indifference points.
...: Unused.

Value

A ggplot2::ggplot object.