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    <h1>Extract Weights</h1>
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    <small class="dont-index">Source: <a href='https://github.com/rauschenberger/mixnet/blob/master/R/functions.R'><code>R/functions.R</code></a></small>
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    <div class="hidden name"><code>weights.joinet.Rd</code></div>
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    <p>Extracts coefficients from the meta learner,
i.e. the weights for the base learners.</p>
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    <pre class="usage"><span class='co'># S3 method for joinet</span>
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<span class='fu'><a href='https://www.rdocumentation.org/packages/stats/topics/weights'>weights</a></span>(<span class='no'>object</span>, <span class='no'>...</span>)</pre>
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    <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>
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      <th>object</th>
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      <td><p><a href='joinet.html'>joinet</a> object</p></td>
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    </tr>
    <tr>
      <th>...</th>
      <td><p>further arguments (not applicable)</p></td>
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    <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>

    <p>This function returns a matrix with
\(1+q\) rows and \(q\) columns.
The first row contains the intercepts,
and the other rows contain the slopes,
which are the effects of the outcomes
in the row on the outcomes in the column.</p>
    
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    <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
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    <pre class="examples"><div class='input'><span class='no'>n</span> <span class='kw'>&lt;-</span> <span class='fl'>50</span>; <span class='no'>p</span> <span class='kw'>&lt;-</span> <span class='fl'>100</span>; <span class='no'>q</span> <span class='kw'>&lt;-</span> <span class='fl'>3</span>
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<span class='no'>X</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/matrix'>matrix</a></span>(<span class='fu'><a href='https://www.rdocumentation.org/packages/stats/topics/Normal'>rnorm</a></span>(<span class='no'>n</span>*<span class='no'>p</span>),<span class='kw'>nrow</span><span class='kw'>=</span><span class='no'>n</span>,<span class='kw'>ncol</span><span class='kw'>=</span><span class='no'>p</span>)
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<span class='no'>Y</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/lapply'>replicate</a></span>(<span class='kw'>n</span><span class='kw'>=</span><span class='no'>q</span>,<span class='kw'>expr</span><span class='kw'>=</span><span class='fu'><a href='https://www.rdocumentation.org/packages/stats/topics/Normal'>rnorm</a></span>(<span class='kw'>n</span><span class='kw'>=</span><span class='no'>n</span>,<span class='kw'>mean</span><span class='kw'>=</span><span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/colSums'>rowSums</a></span>(<span class='no'>X</span>[,<span class='fl'>1</span>:<span class='fl'>5</span>])))
<span class='no'>object</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='joinet.html'>joinet</a></span>(<span class='kw'>Y</span><span class='kw'>=</span><span class='no'>Y</span>,<span class='kw'>X</span><span class='kw'>=</span><span class='no'>X</span>)
<span class='fu'><a href='https://www.rdocumentation.org/packages/stats/topics/weights'>weights</a></span>(<span class='no'>object</span>)</div><div class='output co'>#&gt;                    y1        y2        y3
#&gt; (Intercept) 0.4123532 0.2048455 0.3295532
#&gt; V1          0.3347547 0.7144811 0.4977934
#&gt; V2          0.4795655 0.1919470 0.3724097
#&gt; V3          0.6110722 0.4751144 0.4351376</div><div class='input'>
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</div></pre>
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    <h2>Contents</h2>
    <ul class="nav nav-pills nav-stacked">
      <li><a href="#arguments">Arguments</a></li>
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      <li><a href="#value">Value</a></li>
      
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      <li><a href="#examples">Examples</a></li>
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  <p>Developed by <a href='https://rauschenberger.github.io'>Armin Rauschenberger</a>.</p>
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