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the MCMC procedure (using JAGS, BUGS or Stan) and a vector of parameters
(strings) that can be used to perform the expected value of partial
information analysis. In the process, createInputs also checks for
linear dependency among columns of the PSA samples or columns having
constant values and removes them to only leave the fundamental parameters
(to run VoI analysis). This also deals with simulations stored in a
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non-Bayesian model)."><meta property="og:image" content="https://n8thangreen.github.io/BCEA/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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  <main id="main" class="col-md-9"><div class="page-header">
      <img src="../logo.png" class="logo" alt=""><h1>Create Inputs for EVPI Calculation</h1>
      <small class="dont-index">Source: <a href="https://github.com/n8thangreen/BCEA/blob/HEAD/R/CreateInputs.R" class="external-link"><code>R/CreateInputs.R</code></a></small>
      <div class="d-none name"><code>createInputs.Rd</code></div>
    </div>

    <div class="ref-description section level2">
    <p>Creates an object containing the matrix with the parameters simulated using
the MCMC procedure (using JAGS, BUGS or Stan) and a vector of parameters
(strings) that can be used to perform the expected value of partial
information analysis. In the process, <code>createInputs</code> also checks for
linear dependency among columns of the PSA samples or columns having
constant values and removes them to only leave the fundamental parameters
(to run VoI analysis). This also deals with simulations stored in a
<code>.csv</code> or <code>.txt</code> file (e.g. as obtained using bootstrapping from a
non-Bayesian model).</p>
    </div>

    <div class="section level2">
    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="co"># S3 method for default</span></span>
<span><span class="fu">createInputs</span><span class="op">(</span><span class="va">inputs</span>, print_is_linear_comb <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
<span></span>
<span><span class="fu">createInputs</span><span class="op">(</span><span class="va">inputs</span>, print_is_linear_comb <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
<span></span>
<span><span class="co"># S3 method for rjags</span></span>
<span><span class="fu">createInputs</span><span class="op">(</span><span class="va">inputs</span>, print_is_linear_comb <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
<span></span>
<span><span class="co"># S3 method for bugs</span></span>
<span><span class="fu">createInputs</span><span class="op">(</span><span class="va">inputs</span>, print_is_linear_comb <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
<span></span>
<span><span class="co"># S3 method for stanfit</span></span>
<span><span class="fu">createInputs</span><span class="op">(</span><span class="va">inputs</span>, print_is_linear_comb <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
<span></span>
<span><span class="co"># S3 method for data.frame</span></span>
<span><span class="fu">createInputs</span><span class="op">(</span><span class="va">inputs</span>, print_is_linear_comb <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
<span></span>
<span><span class="co"># S3 method for numeric</span></span>
<span><span class="fu">createInputs</span><span class="op">(</span><span class="va">inputs</span>, print_is_linear_comb <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></code></pre></div>
    </div>

    <div class="section level2">
    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
    <dl><dt>inputs</dt>
<dd><p>A <code>rjags</code>, <code>bugs</code> or <code>stanfit</code> object, containing
the results of a call to either JAGS, (using <code>R2jags</code>), BUGS
(using <code>R2WinBUGS</code>, or Stan (using <code>rstan</code>).</p></dd>


<dt>print_is_linear_comb</dt>
<dd><p>Logical indicator. If set to <code>TRUE</code> (default)
then prints the output of the procedure trying to assess whether there are
some parameters that are a linear combination of others (in which case
they are removed).</p></dd>

</dl></div>
    <div class="section level2">
    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
    <dl><dt>mat</dt>
<dd><p>Data.frame containing all the simulations
for all the monitored parameters</p></dd>

<dt>parameters</dt>
<dd><p>Character vectors of the names
of all the monitored parameters</p></dd>

</dl></div>
    <div class="section level2">
    <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
    <div class="dont-index"><p><code><a href="bcea.html">bcea()</a></code>,
<code><a href="evppi.html">evppi()</a></code></p></div>
    </div>
    <div class="section level2">
    <h2 id="author">Author<a class="anchor" aria-label="anchor" href="#author"></a></h2>
    <p>Gianluca Baio, Anna Heath and Mark Strong</p>
    </div>

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