locfit {locfit}  R Documentation 
locfit
is the model formulabased interface to the Locfit
library for fitting local regression and likelihood models.
locfit
is implemented as a frontend to locfit.raw
.
See that function for options to control smoothing parameters,
fitting family and other aspects of the fit.
locfit(formula, data, weights, cens, base, subset, geth, ..., lfproc)
formula 
Model Formula; e.g. y~x for a regression model; ~x for a
density estimation model

data 
Data Frame. 
weights 
Prior weights (or sample sizes) for individual observations. This is typically used where observations have unequal variance. 
cens 
Censoring indicator. 1 (or TRUE ) denotes a censored observation.
0 (or FALSE ) denotes uncensored.

base 
Baseline for local fitting. For local regression models, specifying
a base is equivalent to using ybase as the reponse. But base
also works for local likelihood.

subset 
Subset observations in the data frame. 
geth 
Don't use. 
... 
Other arguments to locfit.raw() (or the lfproc ).

lfproc 
A processing function to compute the local fit. Default is
locfit.raw() . Other choices include locfit.robust() ,
locfit.censor() and locfit.quasi() .

An object with class "locfit"
. A standard set of methods for printing,
ploting, etc. these objects is provided.
Loader, C. (1999). Local Regression and Likelihood. Springer, New York.
# fit and plot a univariate local regression data(ethanol) fit < locfit(NOx~E,data=ethanol) plot(fit,get.data=TRUE) # a bivariate local regression with smaller smoothing parameter fit < locfit(NOx~E+C, data=ethanol, scale=0, alpha=0.5) plot(fit) # density estimation data(geyser) fit < locfit(~geyser, alpha=c(0.1,0.8)) plot(fit,get.data=TRUE)