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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: Plot Confidence Bands for Association Parameters</title>
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<table width="100%" summary="page for plotci.sA {sbgcop}"><tr><td>plotci.sA {sbgcop}</td><td align="right">R Documentation</td></tr></table>
<h2>Plot Confidence Bands for Association Parameters</h2>


<h3>Description</h3>

<p>
Plots 95
parameters
</p>


<h3>Usage</h3>

<pre>
plotci.sA(sA, ylabs = colnames(sA[, , 1]), mgp = c(1.75, 0.75, 0))
</pre>


<h3>Arguments</h3>

<table summary="R argblock">
<tr valign="top"><td><code>sA</code></td>
<td>
a p x p x nsamp array  </td></tr>
<tr valign="top"><td><code>ylabs</code></td>
<td>
a p x 1 vector of names for plotting labels </td></tr>
<tr valign="top"><td><code>mgp</code></td>
<td>
margin parameters </td></tr>
</table>

<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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