Local Regression, Likelihood and Density Estimation.
Usage
locfit(formula, data, weights, cens, base, subset, geth, ..., lfproc)
Arguments
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 y-base 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() .
|
Value
An object with class "locfit"
. A standard set of methods for printing,
ploting, etc. these objects is provided.
locfit()
is a model-formula based front end to locfit.raw()
.References
Consult the Web page http://cm.bell-labs.com/stat/project/locfit/.See Also
locfit.raw
Examples
locfit(NOx~E,data=ethanol)