predict.dlim: DLIM Predictions

In dlim: Distributed Lag Interaction Model

DLIM Predictions

Description

Predicted values based on a dlim object.

Usage

## S3 method for class '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

dlim

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

dlim documentation built on May 29, 2024, 8:32 a.m.