dfrpar

See Marazzi A. (1993), p.398 and p.406

utilities

Locations problems, M-estimates of coefficients and scale
in linear regression, Weights for bounded influence regression,
Covariance matrix of the coefficient estimates, Asymptotic
relative efficiency of regression M-estimates, Robust testing
in linear models, High breakdown point regression, M-estimates
of covariance matrices, M-estimates for discrete generalized
linear models.

A. Randriamiharisoa

robeth

R Functions for Robust Statistics

dfrpar function

<dl> <dt>x</dt>
<dd>See reference</dd> <dt>etype</dt>
<dd>See reference</dd> <dt>upar</dt>
<dd>See reference</dd> <dt>psipar</dt>
<dd>See reference</dd></dl>

Arguments

Sets default parameters for regression estimates — dfrpar

<dl>

 <dt>x</dt>
<dd>See reference</dd>

 <dt>etype</dt>
<dd>See reference</dd>

 <dt>upar</dt>
<dd>See reference</dd>

 <dt>psipar</dt>
<dd>See reference</dd>

</dl>

dfrpar: Sets default parameters for regression estimates

Description

Usage

Value

Arguments

References