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<img src="" class="logo" alt=""><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="d-none name"><code>logLik.mkinfit.Rd</code></div>
</div>
<div class="ref-description section level2">
<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 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 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 class="section level2">
<h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></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 class="section level2">
<h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></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 class="section level2">
<h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></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 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>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 class="section level2">
<h2 id="author">Author<a class="anchor" aria-label="anchor" href="#author"></a></h2>
<p>Johannes Ranke</p>
</div>
<div class="section level2">
<h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></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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