DLIM Predictions — predict.dlim • dlim

Predicted values based on a dlim object.

Usage

# S3 method for dlim
predict(
  object,
  newdata = NULL,
  type = c("DLF", "CE", "response"),
  conf.level = 0.95,
  ...
)

Arguments

object: an object of class "dlim"
newdata: a vector of new modifier values for prediction (class "numeric")
type: Type of prediction. "DLF" for the estimated distributed lag functions, "CE" for cumulative effects, "response" for fitted values, or any combination of these in a vector (class "character")
conf.level: The confidence level (class "numeric")
...: additional arguments affecting the predictions produced

Value

This function returns a list of 3 elements:

est_dlim: cumulative and/or point-wise estimates, standard errors, and confidence intervals (class "list")
cb: cross-basis object (class "cross-basis")
model: model object (class "gam")

See also

Type vignette('dlimOverview') for a detailed description.