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>upar</code></td>
<td>
 See reference
</td>
</tr>
<tr valign="top">
<td><code>npar</code></td>
<td>
 See reference
</td>
</tr>
<tr valign="top">
<td><code>s</code></td>
<td>
 See reference
</td>
</tr>
</table>

Marazzi A. (1993) Algorithm, Routines, and S functions 
for Robust Statistics. Wadsworth &amp; Brooks/cole, Pacific Grove,
California. p.331

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

ugl

Description

Usage

Arguments

Value

References

robeth

We don't support your browser anymore