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author | Johannes Ranke <jranke@uni-bremen.de> | 2022-11-24 09:02:26 +0100 |
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committer | Johannes Ranke <jranke@uni-bremen.de> | 2022-11-24 09:02:26 +0100 |
commit | af7c6de4db9981ac814362c441fbac22c8faa2d7 (patch) | |
tree | 33c2963936ce6c38abe6533afcce3994a08d4ba9 /docs/dev/reference/AIC.mmkin.html | |
parent | 8e953c409e0020ea7e7c2a5121019c42cb66dde4 (diff) |
Start online docs of the development version
Diffstat (limited to 'docs/dev/reference/AIC.mmkin.html')
-rw-r--r-- | docs/dev/reference/AIC.mmkin.html | 275 |
1 files changed, 114 insertions, 161 deletions
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href="../index.html">mkin</a> - <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span> + <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.2.2</span> </span> </div> <div id="navbar" class="navbar-collapse collapse"> - <ul class="nav navbar-nav"> - <li> + <ul class="nav navbar-nav"><li> <a href="../reference/index.html">Functions and data</a> </li> <li class="dropdown"> - <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" aria-expanded="false"> + <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" data-bs-toggle="dropdown" aria-expanded="false"> Articles <span class="caret"></span> </a> - <ul class="dropdown-menu" role="menu"> - <li> + <ul class="dropdown-menu" role="menu"><li> <a href="../articles/mkin.html">Introduction to mkin</a> </li> <li> @@ -99,48 +42,50 @@ same dataset." /> <a href="../articles/FOCUS_L.html">Example evaluation of FOCUS Laboratory Data L1 to L3</a> </li> <li> - <a href="../articles/web_only/FOCUS_Z.html">Example evaluation of FOCUS Example Dataset Z</a> + <a href="../articles/web_only/dimethenamid_2018.html">Example evaluations of dimethenamid data from 2018 with nonlinear mixed-effects models</a> + </li> + <li> + <a href="../articles/web_only/multistart.html">Short demo of the multistart method</a> </li> <li> <a href="../articles/web_only/compiled_models.html">Performance benefit by using compiled model definitions in mkin</a> </li> <li> + <a href="../articles/web_only/FOCUS_Z.html">Example evaluation of FOCUS Example Dataset Z</a> + </li> + <li> <a href="../articles/twa.html">Calculation of time weighted average concentrations with mkin</a> </li> <li> <a href="../articles/web_only/NAFTA_examples.html">Example evaluation of NAFTA SOP Attachment examples</a> </li> <li> - <a href="../articles/web_only/benchmarks.html">Some benchmark timings</a> + <a href="../articles/web_only/benchmarks.html">Benchmark timings for mkin</a> </li> - </ul> -</li> + <li> + <a href="../articles/web_only/saem_benchmarks.html">Benchmark timings for saem.mmkin</a> + </li> + </ul></li> <li> <a href="../news/index.html">News</a> </li> - </ul> - <ul class="nav navbar-nav navbar-right"> - <li> - <a href="https://github.com/jranke/mkin/"> + </ul><ul class="nav navbar-nav navbar-right"><li> + <a href="https://github.com/jranke/mkin/" class="external-link"> <span class="fab fa-github fa-lg"></span> </a> </li> - </ul> - - </div><!--/.nav-collapse --> + </ul></div><!--/.nav-collapse --> </div><!--/.container --> </div><!--/.navbar --> - </header> - -<div class="row"> + </header><div class="row"> <div class="col-md-9 contents"> <div class="page-header"> <h1>Calculate the AIC for a column of an mmkin object</h1> - <small class="dont-index">Source: <a href='https://github.com/jranke/mkin/blob/master/R/AIC.mmkin.R'><code>R/AIC.mmkin.R</code></a></small> + <small class="dont-index">Source: <a href="https://github.com/jranke/mkin/blob/HEAD/R/AIC.mmkin.R" class="external-link"><code>R/AIC.mmkin.R</code></a></small> <div class="hidden name"><code>AIC.mmkin.Rd</code></div> </div> @@ -149,102 +94,110 @@ same dataset." /> same dataset.</p> </div> - <pre class="usage"><span class='co'># S3 method for mmkin</span> -<span class='fu'><a href='https://rdrr.io/r/stats/AIC.html'>AIC</a></span><span class='op'>(</span><span class='va'>object</span>, <span class='va'>...</span>, k <span class='op'>=</span> <span class='fl'>2</span><span class='op'>)</span> - -<span class='co'># S3 method for mmkin</span> -<span class='fu'><a href='https://rdrr.io/r/stats/AIC.html'>BIC</a></span><span class='op'>(</span><span class='va'>object</span>, <span class='va'>...</span><span class='op'>)</span></pre> - - <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> - <th>object</th> - <td><p>An object of class <code><a href='mmkin.html'>mmkin</a></code>, containing only one -column.</p></td> - </tr> - <tr> - <th>...</th> - <td><p>For compatibility with the generic method</p></td> - </tr> - <tr> - <th>k</th> - <td><p>As in the generic method</p></td> - </tr> - </table> - - <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2> - - <p>As in the generic method (a numeric value for single fits, or a -dataframe if there are several fits in the column).</p> - <h2 class="hasAnchor" id="author"><a class="anchor" href="#author"></a>Author</h2> + <div id="ref-usage"> + <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="co"># S3 method for mmkin</span></span> +<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">object</span>, <span class="va">...</span>, k <span class="op">=</span> <span class="fl">2</span><span class="op">)</span></span> +<span></span> +<span><span class="co"># S3 method for mmkin</span></span> +<span><span class="fu"><a href="https://rdrr.io/r/stats/AIC.html" class="external-link">BIC</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="mmkin.html">mmkin</a></code>, containing only one +column.</p></dd> + +<dt>...</dt> +<dd><p>For compatibility with the generic method</p></dd> + + +<dt>k</dt> +<dd><p>As in the generic method</p></dd> + +</dl></div> + <div id="value"> + <h2>Value</h2> + + +<p>As in the generic method (a numeric value for single fits, or a +dataframe if there are several fits in the column).</p> + </div> + <div id="author"> + <h2>Author</h2> <p>Johannes Ranke</p> + </div> - <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2> - <pre class="examples"><div class='input'> - <span class='co'># skip, as it takes > 10 s on winbuilder</span> - <span class='va'>f</span> <span class='op'><-</span> <span class='fu'><a href='mmkin.html'>mmkin</a></span><span class='op'>(</span><span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='st'>"SFO"</span>, <span class='st'>"FOMC"</span>, <span class='st'>"DFOP"</span><span class='op'>)</span>, - <span class='fu'><a href='https://rdrr.io/r/base/list.html'>list</a></span><span class='op'>(</span><span class='st'>"FOCUS A"</span> <span class='op'>=</span> <span class='va'>FOCUS_2006_A</span>, - <span class='st'>"FOCUS C"</span> <span class='op'>=</span> <span class='va'>FOCUS_2006_C</span><span class='op'>)</span>, cores <span class='op'>=</span> <span class='fl'>1</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span> - <span class='co'># We get a warning because the FOMC model does not converge for the</span> - <span class='co'># FOCUS A dataset, as it is well described by SFO</span> - - <span class='fu'><a href='https://rdrr.io/r/stats/AIC.html'>AIC</a></span><span class='op'>(</span><span class='va'>f</span><span class='op'>[</span><span class='st'>"SFO"</span>, <span class='st'>"FOCUS A"</span><span class='op'>]</span><span class='op'>)</span> <span class='co'># We get a single number for a single fit</span> -</div><div class='output co'>#> [1] 55.28197</div><div class='input'> <span class='fu'><a href='https://rdrr.io/r/stats/AIC.html'>AIC</a></span><span class='op'>(</span><span class='va'>f</span><span class='op'>[[</span><span class='st'>"SFO"</span>, <span class='st'>"FOCUS A"</span><span class='op'>]</span><span class='op'>]</span><span class='op'>)</span> <span class='co'># or when extracting an mkinfit object</span> -</div><div class='output co'>#> [1] 55.28197</div><div class='input'> - <span class='co'># For FOCUS A, the models fit almost equally well, so the higher the number</span> - <span class='co'># of parameters, the higher (worse) the AIC</span> - <span class='fu'><a href='https://rdrr.io/r/stats/AIC.html'>AIC</a></span><span class='op'>(</span><span class='va'>f</span><span class='op'>[</span>, <span class='st'>"FOCUS A"</span><span class='op'>]</span><span class='op'>)</span> -</div><div class='output co'>#> df AIC -#> SFO 3 55.28197 -#> FOMC 4 57.28222 -#> DFOP 5 59.28197</div><div class='input'> <span class='fu'><a href='https://rdrr.io/r/stats/AIC.html'>AIC</a></span><span class='op'>(</span><span class='va'>f</span><span class='op'>[</span>, <span class='st'>"FOCUS A"</span><span class='op'>]</span>, k <span class='op'>=</span> <span class='fl'>0</span><span class='op'>)</span> <span class='co'># If we do not penalize additional parameters, we get nearly the same</span> -</div><div class='output co'>#> df AIC -#> SFO 3 49.28197 -#> FOMC 4 49.28222 -#> DFOP 5 49.28197</div><div class='input'> <span class='fu'><a href='https://rdrr.io/r/stats/AIC.html'>BIC</a></span><span class='op'>(</span><span class='va'>f</span><span class='op'>[</span>, <span class='st'>"FOCUS A"</span><span class='op'>]</span><span class='op'>)</span> <span class='co'># Comparing the BIC gives a very similar picture</span> -</div><div class='output co'>#> df BIC -#> SFO 3 55.52030 -#> FOMC 4 57.59999 -#> DFOP 5 59.67918</div><div class='input'> - <span class='co'># For FOCUS C, the more complex models fit better</span> - <span class='fu'><a href='https://rdrr.io/r/stats/AIC.html'>AIC</a></span><span class='op'>(</span><span class='va'>f</span><span class='op'>[</span>, <span class='st'>"FOCUS C"</span><span class='op'>]</span><span class='op'>)</span> -</div><div class='output co'>#> df AIC -#> SFO 3 59.29336 -#> FOMC 4 44.68652 -#> DFOP 5 29.02372</div><div class='input'> <span class='fu'><a href='https://rdrr.io/r/stats/AIC.html'>BIC</a></span><span class='op'>(</span><span class='va'>f</span><span class='op'>[</span>, <span class='st'>"FOCUS C"</span><span class='op'>]</span><span class='op'>)</span> -</div><div class='output co'>#> df BIC -#> SFO 3 59.88504 -#> FOMC 4 45.47542 -#> DFOP 5 30.00984</div><div class='input'> - -</div></pre> + <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"># skip, as it takes > 10 s on winbuilder</span></span></span> +<span class="r-in"><span> <span class="va">f</span> <span class="op"><-</span> <span class="fu"><a href="mmkin.html">mmkin</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"SFO"</span>, <span class="st">"FOMC"</span>, <span class="st">"DFOP"</span><span class="op">)</span>,</span></span> +<span class="r-in"><span> <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="st">"FOCUS A"</span> <span class="op">=</span> <span class="va">FOCUS_2006_A</span>,</span></span> +<span class="r-in"><span> <span class="st">"FOCUS C"</span> <span class="op">=</span> <span class="va">FOCUS_2006_C</span><span class="op">)</span>, cores <span class="op">=</span> <span class="fl">1</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></span> +<span class="r-in"><span> <span class="co"># We get a warning because the FOMC model does not converge for the</span></span></span> +<span class="r-in"><span> <span class="co"># FOCUS A dataset, as it is well described by SFO</span></span></span> +<span class="r-in"><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</span><span class="op">[</span><span class="st">"SFO"</span>, <span class="st">"FOCUS A"</span><span class="op">]</span><span class="op">)</span> <span class="co"># We get a single number for a single fit</span></span></span> +<span class="r-out co"><span class="r-pr">#></span> [1] 55.28197</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</span><span class="op">[[</span><span class="st">"SFO"</span>, <span class="st">"FOCUS A"</span><span class="op">]</span><span class="op">]</span><span class="op">)</span> <span class="co"># or when extracting an mkinfit object</span></span></span> +<span class="r-out co"><span class="r-pr">#></span> [1] 55.28197</span> +<span class="r-in"><span></span></span> +<span class="r-in"><span> <span class="co"># For FOCUS A, the models fit almost equally well, so the higher the number</span></span></span> +<span class="r-in"><span> <span class="co"># of parameters, the higher (worse) the AIC</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</span><span class="op">[</span>, <span class="st">"FOCUS A"</span><span class="op">]</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> SFO 3 55.28197</span> +<span class="r-out co"><span class="r-pr">#></span> FOMC 4 57.28222</span> +<span class="r-out co"><span class="r-pr">#></span> DFOP 5 59.28197</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</span><span class="op">[</span>, <span class="st">"FOCUS A"</span><span class="op">]</span>, k <span class="op">=</span> <span class="fl">0</span><span class="op">)</span> <span class="co"># If we do not penalize additional parameters, we get nearly the same</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> SFO 3 49.28197</span> +<span class="r-out co"><span class="r-pr">#></span> FOMC 4 49.28222</span> +<span class="r-out co"><span class="r-pr">#></span> DFOP 5 49.28197</span> +<span class="r-in"><span> <span class="fu"><a href="https://rdrr.io/r/stats/AIC.html" class="external-link">BIC</a></span><span class="op">(</span><span class="va">f</span><span class="op">[</span>, <span class="st">"FOCUS A"</span><span class="op">]</span><span class="op">)</span> <span class="co"># Comparing the BIC gives a very similar picture</span></span></span> +<span class="r-out co"><span class="r-pr">#></span> df BIC</span> +<span class="r-out co"><span class="r-pr">#></span> SFO 3 55.52030</span> +<span class="r-out co"><span class="r-pr">#></span> FOMC 4 57.59999</span> +<span class="r-out co"><span class="r-pr">#></span> DFOP 5 59.67918</span> +<span class="r-in"><span></span></span> +<span class="r-in"><span> <span class="co"># For FOCUS C, the more complex models fit better</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</span><span class="op">[</span>, <span class="st">"FOCUS C"</span><span class="op">]</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> SFO 3 59.29336</span> +<span class="r-out co"><span class="r-pr">#></span> FOMC 4 44.68652</span> +<span class="r-out co"><span class="r-pr">#></span> DFOP 5 29.02372</span> +<span class="r-in"><span> <span class="fu"><a href="https://rdrr.io/r/stats/AIC.html" class="external-link">BIC</a></span><span class="op">(</span><span class="va">f</span><span class="op">[</span>, <span class="st">"FOCUS C"</span><span class="op">]</span><span class="op">)</span></span></span> +<span class="r-out co"><span class="r-pr">#></span> df BIC</span> +<span class="r-out co"><span class="r-pr">#></span> SFO 3 59.88504</span> +<span class="r-out co"><span class="r-pr">#></span> FOMC 4 45.47542</span> +<span class="r-out co"><span class="r-pr">#></span> DFOP 5 30.00984</span> +<span class="r-in"><span> </span></span> +<span class="r-in"><span></span></span> +</code></pre></div> + </div> </div> <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar"> - <nav id="toc" data-toggle="toc" class="sticky-top"> - <h2 data-toc-skip>Contents</h2> - </nav> - </div> + <nav id="toc" data-toggle="toc" class="sticky-top"><h2 data-toc-skip>Contents</h2> + </nav></div> </div> - <footer> - <div class="copyright"> - 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