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authorJohannes Ranke <jranke@uni-bremen.de>2020-05-27 06:06:08 +0200
committerJohannes Ranke <jranke@uni-bremen.de>2020-05-27 06:06:08 +0200
commita77a10ea6c607346778ba0700b3b66ac393101a2 (patch)
treee91f627fba0580ef237ecbc8f24d6294a59597d3 /docs/dev/reference/aw.html
parent675a733fa2acc08daabb9b8b571c7d658f281f73 (diff)
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+ <div class="page-header">
+ <h1>Calculate Akaike weights for model averaging</h1>
+ <small class="dont-index">Source: <a href='http://github.com/jranke/mkin/blob/master/R/aw.R'><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>
+
+ <pre class="usage"><span class='fu'>aw</span>(<span class='no'>object</span>, <span class='no'>...</span>)
+
+<span class='co'># S3 method for mkinfit</span>
+<span class='fu'>aw</span>(<span class='no'>object</span>, <span class='no'>...</span>)
+
+<span class='co'># S3 method for mmkin</span>
+<span class='fu'>aw</span>(<span class='no'>object</span>, <span class='no'>...</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 <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></td>
+ </tr>
+ <tr>
+ <th>...</th>
+ <td><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></td>
+ </tr>
+ </table>
+
+ <h2 class="hasAnchor" id="references"><a class="anchor" href="#references"></a>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>
+
+ <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
+ <pre class="examples"><div class='input'><span class='co'># \dontrun{</span>
+<span class='no'>f_sfo</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span>(<span class='st'>"SFO"</span>, <span class='no'>FOCUS_2006_D</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>)
+<span class='no'>f_dfop</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span>(<span class='st'>"DFOP"</span>, <span class='no'>FOCUS_2006_D</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>)
+<span class='no'>aw_sfo_dfop</span> <span class='kw'>&lt;-</span> <span class='fu'>aw</span>(<span class='no'>f_sfo</span>, <span class='no'>f_dfop</span>)
+<span class='fu'><a href='https://rdrr.io/r/base/sum.html'>sum</a></span>(<span class='no'>aw_sfo_dfop</span>)</div><div class='output co'>#&gt; [1] 1</div><div class='input'><span class='no'>aw_sfo_dfop</span> <span class='co'># SFO gets more weight as it has less parameters and a similar fit</span></div><div class='output co'>#&gt; [1] 0.5970258 0.4029742</div><div class='input'><span class='no'>f</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='st'>"DFOP"</span>), <span class='fu'><a href='https://rdrr.io/r/base/list.html'>list</a></span>(<span class='st'>"FOCUS D"</span> <span class='kw'>=</span> <span class='no'>FOCUS_2006_D</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='fu'>aw</span>(<span class='no'>f</span>)</div><div class='output co'>#&gt; [1] 0.4808722 0.1945539 0.3245740</div><div class='input'><span class='fu'><a href='https://rdrr.io/r/base/sum.html'>sum</a></span>(<span class='fu'>aw</span>(<span class='no'>f</span>))</div><div class='output co'>#&gt; [1] 1</div><div class='input'><span class='fu'>aw</span>(<span class='no'>f</span>[<span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='st'>"SFO"</span>, <span class='st'>"DFOP"</span>)])</div><div class='output co'>#&gt; [1] 0.5970258 0.4029742</div><div class='input'># }
+</div></pre>
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