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📁 sbgcop: Semiparametric Bayesian Gaussian copula estimation This package estimates parameters of a G
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<table width="100%" summary="page for rwish {sbgcop}"><tr><td>rwish {sbgcop}</td><td align="right">R Documentation</td></tr></table>
<h2>Sample from the Wishart Distribution</h2>


<h3>Description</h3>

<p>
Generate a random sample from the Wishart distribution.
</p>


<h3>Usage</h3>

<pre>
rwish(S0, nu)
</pre>


<h3>Arguments</h3>

<table summary="R argblock">
<tr valign="top"><td><code>S0</code></td>
<td>
a positive definite matrix  </td></tr>
<tr valign="top"><td><code>nu</code></td>
<td>
a positive integer </td></tr>
</table>

<h3>Details</h3>

<p>
Return the sum of nu  i.i.d.  rank-one matrices 
generated as <code>z%*%t(z)</code>, where <code>z</code> is a sample 
from a multivariate normal distribution with covariance 
<code>S0</code>. The resulting random variable has mean 
<code>nu*S0</code>.
</p>


<h3>Value</h3>

<p>
a positive definite matrix.</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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