Usage:

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

Description:

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.

Arguments:

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.

Value:

"locfit" object.

See Also:

locfit, locfit.raw

Key Words:

locfit