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<table width="100%" summary="page for getIndices.F"><tr><td>getIndices.F</td><td style="text-align: right;">R Documentation</td></tr></table>

<h2>getIndices.F</h2>

<h3>Description</h3>

<p>Computes known indices from the minimum of the ML-fit-function.
</p>


<h3>Usage</h3>

<pre>
getIndices.F(
  fmin,
  df,
  p = NULL,
  SigmaHat = NULL,
  Sigma = NULL,
  muHat = NULL,
  mu = NULL,
  N = NULL
)
</pre>


<h3>Arguments</h3>

<table summary="R argblock">
<tr valign="top"><td><code>fmin</code></td>
<td>
<p>minimum of the ML-fit-function</p>
</td></tr>
<tr valign="top"><td><code>df</code></td>
<td>
<p>model degrees of freedom</p>
</td></tr>
<tr valign="top"><td><code>p</code></td>
<td>
<p>number of observed variables</p>
</td></tr>
<tr valign="top"><td><code>SigmaHat</code></td>
<td>
<p>model implied covariance matrix</p>
</td></tr>
<tr valign="top"><td><code>Sigma</code></td>
<td>
<p>population covariance matrix</p>
</td></tr>
<tr valign="top"><td><code>muHat</code></td>
<td>
<p>model implied means</p>
</td></tr>
<tr valign="top"><td><code>mu</code></td>
<td>
<p>population means</p>
</td></tr>
<tr valign="top"><td><code>N</code></td>
<td>
<p>list of sample weights</p>
</td></tr>
</table>


<h3>Value</h3>

<p>list of indices
</p>


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