tfrn2t

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

tfrn2t function

<dl> <dt>cov</dt>
<dd>See reference</dd> <dt>theta</dt>
<dd>See reference</dd> <dt>n</dt>
<dd>See reference</dd> <dt>nq</dt>
<dd>See reference</dd> <dt>tau</dt>
<dd>See reference</dd></dl>

Arguments

Computes the Rn2-test statistic for a linear 
       hypothesis in  canonical form — tfrn2t

<dl>

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

 <dt>theta</dt>
<dd>See reference</dd>

 <dt>n</dt>
<dd>See reference</dd>

 <dt>nq</dt>
<dd>See reference</dd>

 <dt>tau</dt>
<dd>See reference</dd>

</dl>

tfrn2t: Computes the Rn2-test statistic for a linear hypothesis in canonical form

Description

Usage

Value

Arguments

References