R: Control for Mallows-type Robust GLM Estimator

glmRob.mallows.control {robust} | R Documentation

## Control for Mallows-type Robust GLM Estimator

### Description

Allows users to set parameters for `glmRob`.

### Usage

    glmRob.mallows.control(wt.fn = wt.carroll, wt.tuning = 8, ...)

### Arguments

`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 `wt.fn`.
`...` | additional arguments are ignored.

### Value

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()`.

### See Also

`glmRob`.

[Package robust version 0.6-1 Index]