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📁 sbgcop: Semiparametric Bayesian Gaussian copula estimation This package estimates parameters of a G
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<html><head><title>R: Compute Regression Parameters</title>
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<table width="100%" summary="page for sR.sC {sbgcop}"><tr><td>sR.sC {sbgcop}</td><td align="right">R Documentation</td></tr></table>
<h2>Compute Regression Parameters</h2>


<h3>Description</h3>

<p>
Compute an array of regression parameters from an array 
of correlation parameters.
</p>


<h3>Usage</h3>

<pre>
sR.sC(sC)
</pre>


<h3>Arguments</h3>

<table summary="R argblock">
<tr valign="top"><td><code>sC</code></td>
<td>
a p x p x nsamp array of, made up of nsamp correlation matrices.  </td></tr>
</table>

<h3>Details</h3>

<p>
For each of the nsamp correlation matrices C, a matrix of regression 
parameters is computed via <code>R[j,-j]&lt;- C[j,-j]%*%solve(C[-j,-j]) </code>
</p>


<h3>Value</h3>

<p>
a p x p x nsamp array of regression parameters.</p>

<h3>Author(s)</h3>

<p>
Peter Hoff
</p>



<hr><div align="center">[Package <em>sbgcop</em> version 0.95 <a href="00Index.html">Index]</a></div>

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