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.

R Functions for Robust Statistics

package-ubuntu-20.04-r-4.0.5#cran#robeth-2.7-6

<table summary="R argblock"><tr valign="top">
<td><code>s</code></td>
<td>
<p> A scalar input value </p>
</td>
</tr></table>

<p>The single precision value of the u function for s
</p>

<p>Marazzi A. (1993) <em>Algorithm, Routines, and S functions 
for Robust Statistics</em>. Wadsworth &amp; Brooks/cole, Pacific Grove,
California. p.139
</p>

package-ubuntu-20.04-r-4.0.5#cran#robeth-2.7-6#docs#userfs

userfs

Description

Usage

Arguments

Value

References

robeth

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