locfit.quasi {locfit}  R Documentation 
locfit.quasi
assumes a specified meanvariance relation,
and performs iterartive reweighted local regression under this
assumption. This is appropriate for local quasilikelihood 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.
locfit.quasi(x, y, weights, ..., iter=3, var=function(mean)abs(mean))
x 
Either a locfit model formula or a numeric vector
of the predictor variable.

y 
If x is numeric, y gives the response variable.

weights 
Prior weights (or sample sizes) for individual observations. This is typically used where observations have unequal variance. 
... 
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.