addc

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

addc function

<dl> <dt>x</dt>
<dd>See reference</dd> <dt>n</dt>
<dd>See reference</dd> <dt>l</dt>
<dd>See reference</dd> <dt>j</dt>
<dd>See reference</dd> <dt>ip</dt>
<dd>See reference</dd></dl>

Arguments

Adds a column vector to a transformed design matrix and updates its
        QR-decomposition — addc

<dl>

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

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

 <dt>l</dt>
<dd>See reference</dd>

 <dt>j</dt>
<dd>See reference</dd>

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

</dl>

addc: Adds a column vector to a transformed design matrix and updates its QR-decomposition

Description

Usage

Value

Arguments

References