Predict from a beezdiscounting_brms model — predict.beezdiscounting

type = "response" summarizes brms::posterior_epred() draws (the indifference-proportion mean) to the posterior median with equal-tailed intervals; level = "subject" conditions on the subject random effects, "population" sets them to zero. type = "parameters" returns the per-subject k summaries.

Usage

# S3 method for class 'beezdiscounting_brms'
predict(
  object,
  newdata = NULL,
  type = c("response", "parameters"),
  level = "subject",
  probs = c(0.025, 0.975),
  draws = FALSE,
  ...
)

Arguments

object: A beezdiscounting_brms object.
newdata: Optional data frame (defaults to the model frame). The Rachlin guard columns (xzero/xsafe) are derived automatically.
type: "response" or "parameters".
level: "subject" (default) or "population".
probs: Interval probabilities.
draws: If TRUE, return the epred draws matrix.
...: Unused.

Value

A tibble (or draws matrix).