mfyd

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

mfyd function

<dl> <dt>a</dt>
<dd>See reference</dd> <dt>y</dt>
<dd>See reference</dd> <dt>m</dt>
<dd>See reference</dd> <dt>iye</dt>
<dd>See reference</dd> <dt>ize</dt>
<dd>See reference</dd></dl>

Arguments

Multiplies a full matrix by a vector (double precision) — mfyd

<dl>

 <dt>a</dt>
<dd>See reference</dd>

 <dt>y</dt>
<dd>See reference</dd>

 <dt>m</dt>
<dd>See reference</dd>

 <dt>iye</dt>
<dd>See reference</dd>

 <dt>ize</dt>
<dd>See reference</dd>

</dl>

mfyd: Multiplies a full matrix by a vector (double precision)

Description

Usage

Value

Arguments

References