kfascv

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

kfascv function

<dl> <dt>xt</dt>
<dd>See reference</dd> <dt>cov</dt>
<dd>See reference</dd> <dt>k</dt>
<dd>See reference</dd> <dt>mdx</dt>
<dd>See reference</dd> <dt>f</dt>
<dd>See reference</dd> <dt>sg</dt>
<dd>See reference</dd> <dt>ip</dt>
<dd>See reference</dd></dl>

Arguments

Backtransformation of the covariance matrix of the 
        coefficient estimates — kfascv

<dl>

 <dt>xt</dt>
<dd>See reference</dd>

 <dt>cov</dt>
<dd>See reference</dd>

 <dt>k</dt>
<dd>See reference</dd>

 <dt>mdx</dt>
<dd>See reference</dd>

 <dt>f</dt>
<dd>See reference</dd>

 <dt>sg</dt>
<dd>See reference</dd>

 <dt>ip</dt>
<dd>See reference</dd>

</dl>

kfascv: Backtransformation of the covariance matrix of the coefficient estimates

Description

Usage

Value

Arguments

References