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<html><head><title>R: Pseudo-likelihood Estimation of a Strauss Spatial Point Process</title>
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<table width="100%" summary="page for pplik {spatial}"><tr><td>pplik {spatial}</td><td align="right">R Documentation</td></tr></table>
<h2>Pseudo-likelihood Estimation of a Strauss Spatial Point Process</h2>


<h3>Description</h3>

<p>
Pseudo-likelihood estimation of a Strauss spatial point process.
</p>


<h3>Usage</h3>

<pre>
pplik(pp, R, ng=50, trace=FALSE)
</pre>


<h3>Arguments</h3>

<table summary="R argblock">
<tr valign="top"><td><code>pp</code></td>
<td>
a pp object
</td></tr>
<tr valign="top"><td><code>R</code></td>
<td>
the fixed parameter <code>R</code>
</td></tr>
<tr valign="top"><td><code>ng</code></td>
<td>
use a <code>ng</code>  x  <code>ng</code> grid with border <code>R</code> in the domain for numerical
integration.
</td></tr>
<tr valign="top"><td><code>trace</code></td>
<td>
logical? Should function evaluations be printed?
</td></tr>
</table>

<h3>Value</h3>

<p>
estimate for <code>c</code> in the interval <code>[0, 1]</code>.</p>

<h3>References</h3>

<p>
Ripley, B. D. (1988) <EM>Statistical Inference for Spatial
Processes.</EM> Cambridge.
</p>
<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="Strauss.html">Strauss</a></code>
</p>


<h3>Examples</h3>

<pre>
pines &lt;- ppinit("pines.dat")
pplik(pines, 0.7)
</pre>



<hr><div align="center">[Package <em>spatial</em> version 7.2-44 <a href="00Index.html">Index]</a></div>

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