Model Predictions

Generate predictions from a temporal discounting binary choice linear model.

Usage

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

Arguments

object

A temporal discounting binary choice linear model. See td_bclm.

newdata

Optionally, a data frame to use for prediction. If omitted, the data used to fit the model will be used for prediction.

type

The type of prediction required. For 'indiff' (default) gives predicted indifference points. In this case, newdata needs only a del column. For all other values (e.g. "link", "response"), this function is just a wrapper to predict.glm().

...

Additional arguments passed to predict.glm if type != 'indiff'.

Value

A vector of predictions.

See also

Other linear binary choice model functions: td_bclm()

Examples

if (FALSE) { # \dontrun{
data("td_bc_single_ptpt")
mod <- td_bclm(td_bc_single_ptpt, model = 'hyperbolic.1')
indiffs <- predict(mod, newdata = data.frame(del = 1:100), type = 'indiff')
} # }