residuals.glmRob

Residuals methods for <code>glmRob</code> objects.

robust

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

residuals.glmRob function

<dl> <dt>object</dt>
<dd>a <code>glmRob</code> object.</dd>
 <dt>type</dt>
<dd>the type of residuals to be returned.</dd>
 <dt>...</dt>
<dd>additional arguments are ignored.</dd></dl>

Arguments

Residuals Methods for glmRob Objects — residuals.glmRob

<dl>

 <dt>object</dt>
<dd>a <code>glmRob</code> object.</dd>


 <dt>type</dt>
<dd>the type of residuals to be returned.</dd>


 <dt>...</dt>
<dd>additional arguments are ignored.</dd>

</dl>

Residuals Methods for glmRob Objects

residuals.glmRob: Residuals Methods for glmRob Objects

Description

Usage

Value

Arguments