RobStatTM: mopt – R documentation

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mopt

Tuning parameter for a rho function in the modified (asymptotic bias-) optimal family

Description

This function computes the tuning constant that yields an MM-regression estimator with a desired asymptotic efficiency when computed with a rho function in the corresponding family. The output of this function can be passed to the functions lmrobdet.control, mscale and rho.

Usage

mopt(e)

Arguments

`e`	the desired efficiency of the corresponding regression estimator for Gaussian errors

Value

A vector with named elements containing the corresponding tuning parameters.

Author(s)

Kjell Konis

Examples

# Tuning parameters for an 85%-efficient M-estimator at a Gaussian model
mopt(.85)

RobStatTM

Robust Statistics: Theory and Methods

v1.0.2

GPL (>= 3)

Authors

Matias Salibian-Barrera [cre], Victor Yohai [aut], Ricardo Maronna [aut], Doug Martin [aut], Gregory Brownson [aut] (ShinyUI), Kjell Konis [aut], Kjell Konis [cph] (erfi), Christophe Croux [ctb] (WBYlogreg, BYlogreg), Gentiane Haesbroeck [ctb] (WBYlogreg, BYlogreg), Martin Maechler [cph] (lmrob.fit, lmrob..M..fit, lmrob.S), Manuel Koller [cph] (lmrob.fit, .vcov.avar1, lmrob.S, lmrob.lar), Matias Salibian-Barrera [aut]

Initial release

2020-03-02