h12d

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

h12d function

<dl> <dt>mode</dt>
<dd>See reference</dd> <dt>lpivot</dt>
<dd>See reference</dd> <dt>l1</dt>
<dd>See reference</dd> <dt>u</dt>
<dd>See reference</dd> <dt>up</dt>
<dd>See reference</dd> <dt>c</dt>
<dd>See reference</dd> <dt>ice</dt>
<dd>See reference</dd> <dt>icv</dt>
<dd>See reference</dd> <dt>ncv</dt>
<dd>See reference</dd></dl>

Arguments

Constructs and/or applies a single elementary Householder transformation
        (double precision) — h12d

<dl>

 <dt>mode</dt>
<dd>See reference</dd>

 <dt>lpivot</dt>
<dd>See reference</dd>

 <dt>l1</dt>
<dd>See reference</dd>

 <dt>u</dt>
<dd>See reference</dd>

 <dt>up</dt>
<dd>See reference</dd>

 <dt>c</dt>
<dd>See reference</dd>

 <dt>ice</dt>
<dd>See reference</dd>

 <dt>icv</dt>
<dd>See reference</dd>

 <dt>ncv</dt>
<dd>See reference</dd>

</dl>

h12d: Constructs and/or applies a single elementary Householder transformation (double precision)

Description

Usage

Value

Arguments

References