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expected Kullback-Leibler information as specified
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  <div class="col-md-9 contents">
    <div class="page-header">
    <h1>Calculate Akaike weights for model averaging</h1>
    <small class="dont-index">Source: <a href="https://github.com/jranke/mkin/blob/HEAD/R/aw.R" class="external-link"><code>R/aw.R</code></a></small>
    <div class="hidden name"><code>aw.Rd</code></div>
    </div>

    <div class="ref-description">
    <p>Akaike weights are calculated based on the relative
expected Kullback-Leibler information as specified
by Burnham and Anderson (2004).</p>
    </div>

    <div id="ref-usage">
    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">aw</span><span class="op">(</span><span class="va">object</span>, <span class="va">...</span><span class="op">)</span></span>
<span></span>
<span><span class="co"># S3 method for mkinfit</span></span>
<span><span class="fu">aw</span><span class="op">(</span><span class="va">object</span>, <span class="va">...</span><span class="op">)</span></span>
<span></span>
<span><span class="co"># S3 method for mmkin</span></span>
<span><span class="fu">aw</span><span class="op">(</span><span class="va">object</span>, <span class="va">...</span><span class="op">)</span></span>
<span></span>
<span><span class="co"># S3 method for mixed.mmkin</span></span>
<span><span class="fu">aw</span><span class="op">(</span><span class="va">object</span>, <span class="va">...</span><span class="op">)</span></span>
<span></span>
<span><span class="co"># S3 method for multistart</span></span>
<span><span class="fu">aw</span><span class="op">(</span><span class="va">object</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
    </div>

    <div id="arguments">
    <h2>Arguments</h2>
    <dl><dt>object</dt>
<dd><p>An <a href="mmkin.html">mmkin</a> column object, containing two or more
<a href="mkinfit.html">mkinfit</a> models that have been fitted to the same data,
or an mkinfit object. In the latter case, further mkinfit
objects fitted to the same data should be specified
as dots arguments.</p></dd>


<dt>...</dt>
<dd><p>Not used in the method for <a href="mmkin.html">mmkin</a> column objects,
further <a href="mkinfit.html">mkinfit</a> objects in the method for mkinfit objects.</p></dd>

</dl></div>
    <div id="references">
    <h2>References</h2>
    <p>Burnham KP and Anderson DR (2004) Multimodel
Inference: Understanding AIC and BIC in Model Selection.
<em>Sociological Methods &amp; Research</em> <strong>33</strong>(2) 261-304</p>
    </div>

    <div id="ref-examples">
    <h2>Examples</h2>
    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="co"># \dontrun{</span></span></span>
<span class="r-in"><span><span class="va">f_sfo</span> <span class="op">&lt;-</span> <span class="fu"><a href="mkinfit.html">mkinfit</a></span><span class="op">(</span><span class="st">"SFO"</span>, <span class="va">FOCUS_2006_D</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="va">f_dfop</span> <span class="op">&lt;-</span> <span class="fu"><a href="mkinfit.html">mkinfit</a></span><span class="op">(</span><span class="st">"DFOP"</span>, <span class="va">FOCUS_2006_D</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="va">aw_sfo_dfop</span> <span class="op">&lt;-</span> <span class="fu">aw</span><span class="op">(</span><span class="va">f_sfo</span>, <span class="va">f_dfop</span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/sum.html" class="external-link">sum</a></span><span class="op">(</span><span class="va">aw_sfo_dfop</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 1</span>
<span class="r-in"><span><span class="va">aw_sfo_dfop</span> <span class="co"># SFO gets more weight as it has less parameters and a similar fit</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0.5970258 0.4029742</span>
<span class="r-in"><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" class="external-link">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" class="external-link">list</a></span><span class="op">(</span><span class="st">"FOCUS D"</span> <span class="op">=</span> <span class="va">FOCUS_2006_D</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></span></span>
<span class="r-in"><span><span class="fu">aw</span><span class="op">(</span><span class="va">f</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0.4808722 0.1945539 0.3245740</span>
<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/sum.html" class="external-link">sum</a></span><span class="op">(</span><span class="fu">aw</span><span class="op">(</span><span class="va">f</span><span class="op">)</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 1</span>
<span class="r-in"><span><span class="fu">aw</span><span class="op">(</span><span class="va">f</span><span class="op">[</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"SFO"</span>, <span class="st">"DFOP"</span><span class="op">)</span><span class="op">]</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0.5970258 0.4029742</span>
<span class="r-in"><span><span class="co"># }</span></span></span>
</code></pre></div>
    </div>
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