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  Johannes Ranke
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      <h1>
  Fit one or more kinetic models with one or more state variables to one or more datasets
</h1>

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    <h2>Usage</h2>
    <pre><div>mmkin(models, datasets, cores&nbsp;=&nbsp;round(detectCores()/2), cluster&nbsp;=&nbsp;NULL, ...)</div></pre>
    
    <h2>Arguments</h2>
    <dl>
      <dt>models</dt>
      <dd>
    Either a character vector of shorthand names ("SFO", "FOMC", "DFOP",
    "HS", "SFORB"), or an optionally named list of <code><a href='mkinmod.html'>mkinmod</a></code>
    objects.
  </dd>
      <dt>datasets</dt>
      <dd>
    An optionally named list of datasets suitable as observed data for
    <code><a href='mkinfit.html'>mkinfit</a></code>.
  </dd>
      <dt>cores</dt>
      <dd>
    The number of cores to be used for multicore processing. This is only
    used when the <code>cluster</code> argument is <code>NULL</code>.
  </dd>
      <dt>cluster</dt>
      <dd>
    A cluster as returned by <code><a href='http://www.inside-r.org/r-doc/parallel/makeCluster'>makeCluster</a></code> to be used for parallel 
    execution.
  </dd>
      <dt>...</dt>
      <dd>
    Further arguments that will be passed to <code><a href='mkinfit.html'>mkinfit</a></code>. 
  </dd>
    </dl>
    
    <div class="Description">
      <h2>Description</h2>

      <p>This function calls <code><a href='mkinfit.html'>mkinfit</a></code> on all combinations of models and datasets
  specified in its first two arguments.</p>
  
    </div>

    <div class="Value">
      <h2>Value</h2>

      <p><dl>
  A matrix of <code><a href='mkinfit.html'>mkinfit</a></code> objects that can be indexed using the model
  and dataset names as row and column indices.
</dl></p>
  
    </div>
    
    <h2 id="examples">Examples</h2>
    <pre class="examples"><div class='input'>## Not run: 
# m_synth_SFO_lin &lt;- mkinmod(parent = mkinsub(&quot;SFO&quot;, &quot;M1&quot;),
#                            M1 = mkinsub(&quot;SFO&quot;, &quot;M2&quot;),
#                            M2 = mkinsub(&quot;SFO&quot;), use_of_ff = &quot;max&quot;)
# 
# m_synth_FOMC_lin &lt;- mkinmod(parent = mkinsub(&quot;FOMC&quot;, &quot;M1&quot;),
#                             M1 = mkinsub(&quot;SFO&quot;, &quot;M2&quot;),
#                             M2 = mkinsub(&quot;SFO&quot;), use_of_ff = &quot;max&quot;)
# 
# models &lt;- list(SFO_lin = m_synth_SFO_lin, FOMC_lin = m_synth_FOMC_lin)
# datasets &lt;- lapply(synthetic_data_for_UBA_2014[1:3], function(x) x$data)
# names(datasets) &lt;- paste(&quot;Dataset&quot;, 1:3)
# 
# time_default &lt;- system.time(fits.0 &lt;- mmkin(models, datasets))
# time_1 &lt;- system.time(fits.1 &lt;- mmkin(models, datasets, cores = 1))
# 
# time_default
# time_1
# 
# endpoints(fits[[&quot;SFO_lin&quot;, 2]])
# 
# # Plot.mkinfit handles rows or columns of mmkin result objects
# plot(fits.0[1, ])
# plot(fits.0[1, ], obs_var = c(&quot;M1&quot;, &quot;M2&quot;))
# plot(fits.0[, 1])
# # Use double brackets to extract a single mkinfit object, which will be plotted
# # by plot.mkinfit
# plot(fits.0[[1, 1]], sep_obs = TRUE, show_residuals = TRUE, show_errmin = TRUE)
# # Plotting with mmkin (single brackets, extracting an mmkin object) does not
# # allow to plot the observed variables separately
# plot(fits.0[1, 1])
# ## End(Not run)
</div></pre>
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    <h2>See also</h2>
    
  <code><a href='Extract.mmkin.html'>[.mmkin</a></code> for subsetting, <code><a href='plot.mmkin.html'>plot.mmkin</a></code> for plotting.

    
    <h2>Author</h2>
    
  Johannes Ranke

    
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