Prediction from a Locfit object.
preplot(object, newdata, where, tr=NULL, what="coef",
band="none", get.data=F, f3d=F)
Fitted object from locfit().
Points to predict at. Can be given in several forms: vector/matrix;
list, data frame.
An alternative to \textttnewdata. Choices include "grid"
for the grid lfmarg(object); "data" for the original
data points and "fitp" for the direct fitting points (ie. no
Transformation for likelihood models. Default is the inverse of
the link function.
What to compute predicted 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
Compute standard errors for the fit and include confidence bands on
the returned object. Default is "none". Other
choices include "global" for bands using a global variance estimate;
"local" for bands using a local variance estimate and "pred"
for prediction bands (at present, using a global variance estimate).
To obtain the global variance estimate for a fit, use rv.
This can be changed with rv<-. Confidence bands, by default,
are 95 To change the critical value or confidence level, or to obtain
simultaneous instead of pointwise confidence,
the critical value stored on the fit must be changed. See the
kappa0 and crit functions.
If TRUE, the original data is attached to the returned object, and
added to the plot.
If TRUE, sets a flag that forces ploting using the trellis style.
Not available in R.
An object with class "preplot.locfit", containing the predicted
values and additional information used to construct the plot.
preplot.locfit can be called directly, although it is more usual
to call plot.locfit or predict.locfit.
The advantage of preplot.locfit is in S-Plus 5, where arithmetic
and transformations can be performed on the "preplot.locfit"
plot(preplot(fit)) is essentially synonymous with plot(fit).
locfit, predict.locfit, plot.locfit.
Built: Sat Aug 4 07:44:53 EDT 2001
Copyright © 2000, Lucent Technologies
Author: Catherine Loader