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locfit (version 1.5-8)

fitted.locfit: Fitted values for a `"locfit"' object.

Description

Evaluates the fitted values (i.e. evaluates the surface at the original data points) for a Locfit object. This function works by reconstructing the model matrix from the original formula, and predicting at those points. The function may be fooled; for example, if the original data frame has changed since the fit, or if the model formula includes calls to random number generators.

Usage

## S3 method for class 'locfit':
fitted(object, data=NULL, what="coef", cv=FALSE,
studentize=FALSE, type="fit", tr, ...)

Arguments

object
"locfit" object.
data
The data frame for the original fit. Usually, this shouldn't be needed, especially when the function is called directly. It may be needed when called inside another function.
what
What to compute fitted values of. The default, what="coef", works with the fitted curve itself. Other choices include "nlx" for the length of the weight diagram; "infl" for the influence function; "band"<
cv
If TRUE, leave-one-out cross validated fitted values are approximated. Won't make much sense, unless what="coef".
studentize
If TRUE, residuals are studentized.
type
Type of fit or residuals to compute. The default is "fit" for fitted.locfit, and "dev" for residuals.locfit. Other choices include "pear" for
tr
Back transformation for likelihood models.
...
arguments passed to and from methods.

Value

  • A numeric vector of the fitted values.

See Also

locfit, predict.locfit, residuals.locfit