Model Predictions — predict.td_ipm • tempodisco

Generate predictions from a temporal discounting indifference point model

Usage

# S3 method for class 'td_ipm'
predict(object, newdata = NULL, type = c("indiff", "response"), ...)

Arguments

object: A temporal discounting indifference point model. See td_ipm.
newdata: A data frame to use for prediction. If omitted, the data used to fit the model will be used for prediction.
type: Type of prediction, either 'indiff' (indifference points) or 'response' (whether the participants would is predicted to choose the immediate (1) or delayed reward (0)).
...: Additional arguments currently not used.

Value

A vector of predictions.

See also

Other indifference point model functions: coef.td_ipm(), fitted.td_ipm(), logLik.td_ipm(), residuals.td_ipm()

Examples

if (FALSE) { # \dontrun{
data("td_ip_simulated_ptpt")
mod <- td_ipm(td_ip_simulated_ptpt, discount_function = 'hyperbolic')
indiffs <- predict(mod, del = 1:100)
indiffs <- predict(mod, newdata = data.frame(del = 1:100))
} # }