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<html><head><title>R: Calculate the MLE of the Gamma Dispersion Parameter in a GLM Fit</title>
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<table width="100%" summary="page for gamma.dispersion {MASS}"><tr><td>gamma.dispersion {MASS}</td><td align="right">R Documentation</td></tr></table>
<h2>Calculate the MLE of the Gamma Dispersion Parameter in a GLM Fit</h2>
<h3>Description</h3>
<p>
A front end to <code>gamma.shape</code> for convenience. Finds the
reciprocal of the estimate of the shape parameter only.
</p>
<h3>Usage</h3>
<pre>
gamma.dispersion(object, ...)
</pre>
<h3>Arguments</h3>
<table summary="R argblock">
<tr valign="top"><td><code>object</code></td>
<td>
Fitted model object giving the gamma fit.
</td></tr>
<tr valign="top"><td><code>...</code></td>
<td>
Additional arguments passed on to <code>gamma.shape</code>.
</td></tr>
</table>
<h3>Value</h3>
<p>
The MLE of the dispersion parameter of the gamma distribution.</p>
<h3>References</h3>
<p>
Venables, W. N. and Ripley, B. D. (2002)
<EM>Modern Applied Statistics with S.</EM> Fourth edition. Springer.
</p>
<h3>See Also</h3>
<p>
<code><a href="gamma.shape.glm.html">gamma.shape.glm</a></code>, including the example on its help page.
</p>
<hr><div align="center">[Package <em>MASS</em> version 7.2-44 <a href="00Index.html">Index]</a></div>
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