fitted.locfit {locfit} | R Documentation |
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.
## S3 method for class 'locfit': fitted(object, data, what="coef", cv=FALSE, studentize=FALSE, type="fit", tr, ...)
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" for the bandwidth; "degr" for the local polynomial
degree; "lik" for the maximized local likelihood; "rdf"
for the local residual degrees of freedom and "vari" for the
variance function. The interpolation algorithm for some of these quantities
is questionable.
|
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 Pearson residuals; "raw"
for raw residuals, "ldot" for likelihood derivative;
"d2" for the deviance residual squared; lddot for the
likelihood second derivative. Generally, type should only be
used when what="coef" .
|
tr |
Back transformation for likelihood models. |
... |
currently not used. |
A numeric vector of the fitted values.
locfit
,
predict.locfit
,
residuals.locfit