Predict from a structural choice discounting model

Usage

# S3 method for class 'beezdiscounting_choice'
predict(
  object,
  newdata = NULL,
  type = c("prob", "parameters"),
  level = "subject",
  ...
)

object: A beezdiscounting_choice object.
newdata: Optional data frame. NULL uses the fitting data. A supplied newdata must use the package's canonical column names (id, ss_amount, ll_amount, delay, plus any factor/covariate columns).
type: "prob" (default; fitted choice probabilities P(LL) on (0,1)) or "parameters" (the per-subject parameter tibble).
level: For type = "prob": "subject" (default; conditions on each subject's estimated random intercept, requires the id column) or "population" (random effects set to zero – the typical subject: in structural mode log k at its population value, in descriptive mode the random slopes at zero; no id column needed). This is not the population-averaged choice probability, which integrates over the random effects and is flatter.
...: Unused.

type = "parameters": the subject-parameter tibble (one row per subject).
type = "prob": newdata as a tibble plus a .prob column of fitted choice probabilities.