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    <h1>Calculate the AIC for a column of an mmkin object</h1>
    <small class="dont-index">Source: <a href='https://github.com/jranke/mkin/blob/master/R/AIC.mmkin.R'><code>R/AIC.mmkin.R</code></a></small>
    <div class="hidden name"><code>AIC.mmkin.Rd</code></div>
    </div>

    <div class="ref-description">
    <p>Provides a convenient way to compare different kinetic models fitted to the
same dataset.</p>
    </div>

    <pre class="usage"><span class='co'># S3 method for mmkin</span>
<span class='fu'><a href='https://rdrr.io/r/stats/AIC.html'>AIC</a></span><span class='op'>(</span><span class='va'>object</span>, <span class='va'>...</span>, k <span class='op'>=</span> <span class='fl'>2</span><span class='op'>)</span>

<span class='co'># S3 method for mmkin</span>
<span class='fu'><a href='https://rdrr.io/r/stats/AIC.html'>BIC</a></span><span class='op'>(</span><span class='va'>object</span>, <span class='va'>...</span><span class='op'>)</span></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>object</th>
      <td><p>An object of class <code><a href='mmkin.html'>mmkin</a></code>, containing only one
column.</p></td>
    </tr>
    <tr>
      <th>...</th>
      <td><p>For compatibility with the generic method</p></td>
    </tr>
    <tr>
      <th>k</th>
      <td><p>As in the generic method</p></td>
    </tr>
    </table>

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

    <p>As in the generic method (a numeric value for single fits, or a
dataframe if there are several fits in the column).</p>
    <h2 class="hasAnchor" id="author"><a class="anchor" href="#author"></a>Author</h2>

    <p>Johannes Ranke</p>

    <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
    <pre class="examples"><div class='input'>
   <span class='co'># skip, as it takes &gt; 10 s on winbuilder</span>
  <span class='va'>f</span> <span class='op'>&lt;-</span> <span class='fu'><a href='mmkin.html'>mmkin</a></span><span class='op'>(</span><span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='st'>"SFO"</span>, <span class='st'>"FOMC"</span>, <span class='st'>"DFOP"</span><span class='op'>)</span>,
    <span class='fu'><a href='https://rdrr.io/r/base/list.html'>list</a></span><span class='op'>(</span><span class='st'>"FOCUS A"</span> <span class='op'>=</span> <span class='va'>FOCUS_2006_A</span>,
         <span class='st'>"FOCUS C"</span> <span class='op'>=</span> <span class='va'>FOCUS_2006_C</span><span class='op'>)</span>, cores <span class='op'>=</span> <span class='fl'>1</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
</div><div class='output co'>#&gt; <span class='warning'>Warning: Optimisation did not converge:</span>
#&gt; <span class='warning'>false convergence (8)</span></div><div class='input'>  <span class='co'># We get a warning because the FOMC model does not converge for the</span>
  <span class='co'># FOCUS A dataset, as it is well described by SFO</span>

  <span class='fu'><a href='https://rdrr.io/r/stats/AIC.html'>AIC</a></span><span class='op'>(</span><span class='va'>f</span><span class='op'>[</span><span class='st'>"SFO"</span>, <span class='st'>"FOCUS A"</span><span class='op'>]</span><span class='op'>)</span> <span class='co'># We get a single number for a single fit</span>
</div><div class='output co'>#&gt; [1] 55.28197</div><div class='input'>  <span class='fu'><a href='https://rdrr.io/r/stats/AIC.html'>AIC</a></span><span class='op'>(</span><span class='va'>f</span><span class='op'>[[</span><span class='st'>"SFO"</span>, <span class='st'>"FOCUS A"</span><span class='op'>]</span><span class='op'>]</span><span class='op'>)</span> <span class='co'># or when extracting an mkinfit object</span>
</div><div class='output co'>#&gt; [1] 55.28197</div><div class='input'>
  <span class='co'># For FOCUS A, the models fit almost equally well, so the higher the number</span>
  <span class='co'># of parameters, the higher (worse) the AIC</span>
  <span class='fu'><a href='https://rdrr.io/r/stats/AIC.html'>AIC</a></span><span class='op'>(</span><span class='va'>f</span><span class='op'>[</span>, <span class='st'>"FOCUS A"</span><span class='op'>]</span><span class='op'>)</span>
</div><div class='output co'>#&gt;      df      AIC
#&gt; SFO   3 55.28197
#&gt; FOMC  4 57.28211
#&gt; DFOP  5 59.28197</div><div class='input'>  <span class='fu'><a href='https://rdrr.io/r/stats/AIC.html'>AIC</a></span><span class='op'>(</span><span class='va'>f</span><span class='op'>[</span>, <span class='st'>"FOCUS A"</span><span class='op'>]</span>, k <span class='op'>=</span> <span class='fl'>0</span><span class='op'>)</span> <span class='co'># If we do not penalize additional parameters, we get nearly the same</span>
</div><div class='output co'>#&gt;      df      AIC
#&gt; SFO   3 49.28197
#&gt; FOMC  4 49.28211
#&gt; DFOP  5 49.28197</div><div class='input'>  <span class='fu'><a href='https://rdrr.io/r/stats/AIC.html'>BIC</a></span><span class='op'>(</span><span class='va'>f</span><span class='op'>[</span>, <span class='st'>"FOCUS A"</span><span class='op'>]</span><span class='op'>)</span>        <span class='co'># Comparing the BIC gives a very similar picture</span>
</div><div class='output co'>#&gt;      df      BIC
#&gt; SFO   3 55.52030
#&gt; FOMC  4 57.59987
#&gt; DFOP  5 59.67918</div><div class='input'>
  <span class='co'># For FOCUS C, the more complex models fit better</span>
  <span class='fu'><a href='https://rdrr.io/r/stats/AIC.html'>AIC</a></span><span class='op'>(</span><span class='va'>f</span><span class='op'>[</span>, <span class='st'>"FOCUS C"</span><span class='op'>]</span><span class='op'>)</span>
</div><div class='output co'>#&gt;      df      AIC
#&gt; SFO   3 59.29336
#&gt; FOMC  4 44.68652
#&gt; DFOP  5 29.02372</div><div class='input'>  <span class='fu'><a href='https://rdrr.io/r/stats/AIC.html'>BIC</a></span><span class='op'>(</span><span class='va'>f</span><span class='op'>[</span>, <span class='st'>"FOCUS C"</span><span class='op'>]</span><span class='op'>)</span>
</div><div class='output co'>#&gt;      df      BIC
#&gt; SFO   3 59.88504
#&gt; FOMC  4 45.47542
#&gt; DFOP  5 30.00984</div><div class='input'>  

</div></pre>
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