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observed value, as calculated as part of the fitting procedure using
dnorm, i.e. assuming normal distribution, and with the means
predicted by the degradation model, and the standard deviations predicted by
the error model."><!-- 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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<h1>Calculated the log-likelihood of a fitted mkinfit object</h1>
<small class="dont-index">Source: <a href="https://github.com/jranke/mkin/blob/HEAD/R/logLik.mkinfit.R" class="external-link"><code>R/logLik.mkinfit.R</code></a></small>
<div class="hidden name"><code>logLik.mkinfit.Rd</code></div>
</div>
<div class="ref-description">
<p>This function returns the product of the likelihood densities of each
observed value, as calculated as part of the fitting procedure using
<code><a href="https://rdrr.io/r/stats/Normal.html" class="external-link">dnorm</a></code>, i.e. assuming normal distribution, and with the means
predicted by the degradation model, and the standard deviations predicted by
the error model.</p>
</div>
<div id="ref-usage">
<div class="sourceCode"><pre class="sourceCode r"><code><span><span class="co"># S3 method for mkinfit</span></span>
<span><span class="fu"><a href="https://rdrr.io/r/stats/logLik.html" class="external-link">logLik</a></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 object of class <code><a href="mkinfit.html">mkinfit</a></code>.</p></dd>
<dt>...</dt>
<dd><p>For compatibility with the generic method</p></dd>
</dl></div>
<div id="value">
<h2>Value</h2>
<p>An object of class <code><a href="https://rdrr.io/r/stats/logLik.html" class="external-link">logLik</a></code> with the number of estimated
parameters (degradation model parameters plus variance model parameters)
as attribute.</p>
</div>
<div id="details">
<h2>Details</h2>
<p>The total number of estimated parameters returned with the value of the
likelihood is calculated as the sum of fitted degradation model parameters
and the fitted error model parameters.</p>
</div>
<div id="see-also">
<h2>See also</h2>
<div class="dont-index"><p>Compare the AIC of columns of <code><a href="mmkin.html">mmkin</a></code> objects using
<code><a href="AIC.mmkin.html">AIC.mmkin</a></code>.</p></div>
</div>
<div id="author">
<h2>Author</h2>
<p>Johannes Ranke</p>
</div>
<div id="ref-examples">
<h2>Examples</h2>
<div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span></span></span>
<span class="r-in"><span> <span class="co"># \dontrun{</span></span></span>
<span class="r-in"><span> <span class="va">sfo_sfo</span> <span class="op"><-</span> <span class="fu"><a href="mkinmod.html">mkinmod</a></span><span class="op">(</span></span></span>
<span class="r-in"><span> parent <span class="op">=</span> <span class="fu"><a href="mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span>, to <span class="op">=</span> <span class="st">"m1"</span><span class="op">)</span>,</span></span>
<span class="r-in"><span> m1 <span class="op">=</span> <span class="fu"><a href="mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span><span class="op">)</span></span></span>
<span class="r-in"><span> <span class="op">)</span></span></span>
<span class="r-msg co"><span class="r-pr">#></span> Temporary DLL for differentials generated and loaded</span>
<span class="r-in"><span> <span class="va">d_t</span> <span class="op"><-</span> <span class="fu"><a href="https://rdrr.io/r/base/subset.html" class="external-link">subset</a></span><span class="op">(</span><span class="va">FOCUS_2006_D</span>, <span class="va">value</span> <span class="op">!=</span> <span class="fl">0</span><span class="op">)</span></span></span>
<span class="r-in"><span> <span class="va">f_nw</span> <span class="op"><-</span> <span class="fu"><a href="mkinfit.html">mkinfit</a></span><span class="op">(</span><span class="va">sfo_sfo</span>, <span class="va">d_t</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span> <span class="co"># no weighting (weights are unity)</span></span></span>
<span class="r-in"><span> <span class="va">f_obs</span> <span class="op"><-</span> <span class="fu"><a href="https://rdrr.io/r/stats/update.html" class="external-link">update</a></span><span class="op">(</span><span class="va">f_nw</span>, error_model <span class="op">=</span> <span class="st">"obs"</span><span class="op">)</span></span></span>
<span class="r-in"><span> <span class="va">f_tc</span> <span class="op"><-</span> <span class="fu"><a href="https://rdrr.io/r/stats/update.html" class="external-link">update</a></span><span class="op">(</span><span class="va">f_nw</span>, error_model <span class="op">=</span> <span class="st">"tc"</span><span class="op">)</span></span></span>
<span class="r-in"><span> <span class="fu"><a href="https://rdrr.io/r/stats/AIC.html" class="external-link">AIC</a></span><span class="op">(</span><span class="va">f_nw</span>, <span class="va">f_obs</span>, <span class="va">f_tc</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#></span> df AIC</span>
<span class="r-out co"><span class="r-pr">#></span> f_nw 5 204.4486</span>
<span class="r-out co"><span class="r-pr">#></span> f_obs 6 205.8727</span>
<span class="r-out co"><span class="r-pr">#></span> f_tc 6 141.9656</span>
<span class="r-in"><span> <span class="co"># }</span></span></span>
<span class="r-in"><span></span></span>
</code></pre></div>
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