Predict from a structural choice discounting model

Predict from a structural choice discounting model

Usage

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

Arguments

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 population-mean curve; no id column needed).

...

Unused.

Value

• type = "parameters": the subject-parameter tibble (one row per subject).

• type = "prob": newdata as a tibble plus a .prob column of fitted choice probabilities.