glmRob.control

Generates a list of control parameters for glmRob. The main purpose of this function is to implement the default behaviour for glmRob. Use the functions listed in the See Also section to generate control lists for the different robust estimators.

robust

regression

Methods for robust statistics, a state of the art in the early
2000s, notably for robust regression and robust multivariate analysis.

Valentin Todorov

Port of the S+ "Robust Library"

Jiahui Wang

Ruben Zamar

Alfio Marazzi

Victor Yohai

Matias Salibian-Barrera

Ricardo Maronna

Eric Zivot

David Rocke

Doug Martin

Martin Maechler

Kjell Konis

glmRob.control function

<dl> <dt>method</dt>
<dd>a character vector specifying which extimator the control parameters should be generated for. The choices are <code>"cubif"</code>, <code>"mallows"</code>, and <code>"misclass"</code>.</dd>
 <dt>...</dt>
<dd>additional arguments are included in the control (if appropriate for the estimator specified by <code>method</code>).</dd></dl>

Arguments

glmRob Control Parameters — glmRob.control

<dl>

 <dt>method</dt>
<dd>a character vector specifying which extimator the control parameters should be generated for. The choices are <code>"cubif"</code>, <code>"mallows"</code>, and <code>"misclass"</code>.</dd>


 <dt>...</dt>
<dd>additional arguments are included in the control (if appropriate for the estimator specified by <code>method</code>).</dd>

</dl>

glmRob Control Parameters

glmRob.control: glmRob Control Parameters

Description

Usage

Value

Arguments

See Also