Control for Mallows-type Robust GLM Estimator
Allows users to set parameters for glmRob
.
glmRob.mallows.control(wt.fn = wt.carroll, wt.tuning = 8, ...)
wt.fn |
a weight function that might depend on a tuning constant. This function will be evaluated at the square root of the robust Mahalanobis distances of the covariates divided by their dimension. |
wt.tuning |
a tuning constant for |
... |
additional arguments are ignored. |
a list is returned, consisting of these parameters packaged to be used by glmRob()
. The values for glmRob.mallows.control()
can be supplied directly in a call to glmRob()
. These values are filtered through glmRob.mallows.control()
inside glmRob()
.
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