cimedv

robust

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

cimedv function

<dl> <dt>x</dt>
<dd>See reference</dd> <dt>nobs</dt>
<dd>See reference</dd> <dt>nfirst</dt>
<dd>See reference</dd> <dt>iloc</dt>
<dd>See reference</dd> <dt>t</dt>
<dd>See reference</dd></dl>

Arguments

Initial values for the iterative algorithms implemented in 
       CYFALG, CYNALG, and CYGALG — cimedv

<dl>

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

 <dt>nobs</dt>
<dd>See reference</dd>

 <dt>nfirst</dt>
<dd>See reference</dd>

 <dt>iloc</dt>
<dd>See reference</dd>

 <dt>t</dt>
<dd>See reference</dd>

</dl>

cimedv: Initial values for the iterative algorithms implemented in CYFALG, CYNALG, and CYGALG

Description

Usage

Value

Arguments

References