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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 qM.sM {sbgcop}"><tr><td>qM.sM {sbgcop}</td><td align="right">R Documentation</td></tr></table>
<h2>Matrix Quantiles</h2>


<h3>Description</h3>

<p>
Computes quantiles  along the third dimension of a 3-d array.
</p>


<h3>Usage</h3>

<pre>
qM.sM(sM, quantiles = c(0.025, 0.5, 0.975))
</pre>


<h3>Arguments</h3>

<table summary="R argblock">
<tr valign="top"><td><code>sM</code></td>
<td>
an  m x n x s array </td></tr>
<tr valign="top"><td><code>quantiles</code></td>
<td>
quantiles to be computed</td></tr>
</table>

<h3>Value</h3>

<p>
an array of dimension m x n x l, where l is the length of 
<code>quantiles</code></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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