LOCFIT: R and S-Plus Help

locfit.quasi(x, y, ..., iter=3, var=function(mean)abs(mean))
locfit(y~x, lfproc=locfit.quasi)
locfit.quasi(y~x)

locfit.quasi assumes a specified mean-variance relation, and performs iterartive reweighted local regression under this assumption. This is appropriate for local quasi-likelihood models, and is an alternative to specifying a family such as "qpoisson".

locfit.quasi is designed as a front end to locfit.raw with data vectors, or as an intemediary between locfit and locfit.raw with a model formula. If you can stand the syntax, the second calling sequence above will be slightly more efficient than the third.

x

Either a locfit model formula or a numeric vector of the predictor variable.

y

If x is numeric, y gives the response variable.

...

Other arguments to locfit.raw

iter

Number of EM iterations to perform

var

Function specifying the assumed relation between the mean and variance.

"locfit" object.

locfit, locfit.raw

smooth