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    <h1>Subsetting method for mmkin objects</h1>
    
    <div class="hidden name"><code>Extract.mmkin.Rd</code></div>
    </div>

    <div class="ref-description">
    <p>Subsetting method for mmkin objects.</p>
    </div>

    <pre class="usage"># S3 method for mmkin
[(x, i, j, ..., drop = FALSE)</pre>

    <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
    <table class="ref-arguments">
    <colgroup><col class="name" /><col class="desc" /></colgroup>
    <tr>
      <th>x</th>
      <td><p>An <code><a href='mmkin.html'>mmkin</a> object</code></p></td>
    </tr>
    <tr>
      <th>i</th>
      <td><p>Row index selecting the fits for specific models</p></td>
    </tr>
    <tr>
      <th>j</th>
      <td><p>Column index selecting the fits to specific datasets</p></td>
    </tr>
    <tr>
      <th>...</th>
      <td><p>Not used, only there to satisfy the generic method definition</p></td>
    </tr>
    <tr>
      <th>drop</th>
      <td><p>If FALSE, the method always returns an mmkin object, otherwise
either a list of mkinfit objects or a single mkinfit object.</p></td>
    </tr>
    </table>

    <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>

    <p>An object of class <code><a href='mmkin.html'>mmkin</a></code>.</p>

    <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
    <pre class="examples"><div class='input'>
  <span class='co'># Only use one core, to pass R CMD check --as-cran</span>
  <span class='no'>fits</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='mmkin.html'>mmkin</a></span>(<span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='st'>"SFO"</span>, <span class='st'>"FOMC"</span>), <span class='fu'><a href='https://rdrr.io/r/base/list.html'>list</a></span>(<span class='kw'>B</span> <span class='kw'>=</span> <span class='no'>FOCUS_2006_B</span>, <span class='kw'>C</span> <span class='kw'>=</span> <span class='no'>FOCUS_2006_C</span>),
                <span class='kw'>cores</span> <span class='kw'>=</span> <span class='fl'>1</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>)
  <span class='no'>fits</span>[<span class='st'>"FOMC"</span>, ]</div><div class='output co'>#&gt;       dataset
#&gt; model  B       C      
#&gt;   FOMC List,41 List,41
#&gt; attr(,"class")
#&gt; [1] "mmkin"</div><div class='input'>  <span class='no'>fits</span>[, <span class='st'>"B"</span>]</div><div class='output co'>#&gt;       dataset
#&gt; model  B      
#&gt;   SFO  List,41
#&gt;   FOMC List,41
#&gt; attr(,"class")
#&gt; [1] "mmkin"</div><div class='input'>  <span class='no'>fits</span>[<span class='st'>"SFO"</span>, <span class='st'>"B"</span>]</div><div class='output co'>#&gt;      dataset
#&gt; model B      
#&gt;   SFO List,41
#&gt; attr(,"class")
#&gt; [1] "mmkin"</div><div class='input'>
  <span class='fu'><a href='https://rdrr.io/r/utils/head.html'>head</a></span>(
    <span class='co'># This extracts an mkinfit object with lots of components</span>
    <span class='no'>fits</span><span class='kw'>[[</span><span class='st'>"FOMC"</span>, <span class='st'>"B"</span>]]
  )</div><div class='output co'>#&gt; $par
#&gt;  parent_0 log_alpha  log_beta     sigma 
#&gt; 99.666193  2.549849  5.050586  1.890202 
#&gt; 
#&gt; $objective
#&gt; [1] 28.58291
#&gt; 
#&gt; $convergence
#&gt; [1] 0
#&gt; 
#&gt; $iterations
#&gt; [1] 21
#&gt; 
#&gt; $evaluations
#&gt; function gradient 
#&gt;       25       72 
#&gt; 
#&gt; $message
#&gt; [1] "both X-convergence and relative convergence (5)"
#&gt; </div><div class='input'>
</div></pre>
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  <div class="col-md-3 hidden-xs hidden-sm" id="sidebar">
    <h2>Contents</h2>
    <ul class="nav nav-pills nav-stacked">
      <li><a href="#arguments">Arguments</a></li>
      <li><a href="#value">Value</a></li>
      <li><a href="#examples">Examples</a></li>
    </ul>

    <h2>Author</h2>
    <p>Johannes Ranke</p>
  </div>
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