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| author | Johannes Ranke <jranke@uni-bremen.de> | 2022-03-02 18:03:54 +0100 |
|---|---|---|
| committer | Johannes Ranke <jranke@uni-bremen.de> | 2022-03-02 18:03:54 +0100 |
| commit | 2bb59c88d49b193f278916ad9cc4de83c0de9604 (patch) | |
| tree | f286bba254d7c5f2d32eeb2b11f6148938b0e1e1 /docs/reference/parms.html | |
| parent | 351248d07f810ccb6c497633a02cd48ee35526e6 (diff) | |
Make tests more platform independent, update docs
Diffstat (limited to 'docs/reference/parms.html')
| -rw-r--r-- | docs/reference/parms.html | 336 |
1 files changed, 137 insertions, 199 deletions
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- - - -<!-- 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]> +considering the error structure that was assumed for the fit."><!-- 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]> <script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script> <script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script> -<![endif]--> - - +<![endif]--></head><body data-spy="scroll" data-target="#toc"> + - </head> - - <body data-spy="scroll" data-target="#toc"> <div class="container template-reference-topic"> - <header> - <div class="navbar navbar-default navbar-fixed-top" role="navigation"> + <header><div class="navbar navbar-default navbar-fixed-top" role="navigation"> <div class="container"> <div class="navbar-header"> <button type="button" class="navbar-toggle collapsed" data-toggle="collapse" data-target="#navbar" aria-expanded="false"> @@ -74,13 +19,12 @@ considering the error structure that was assumed for the fit." /> </button> <span class="navbar-brand"> <a class="navbar-link" href="../index.html">mkin</a> - <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">1.0.4</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">1.1.0</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"> @@ -89,8 +33,7 @@ considering the error structure that was assumed for the fit." /> <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> @@ -100,6 +43,9 @@ considering the error structure that was assumed for the fit." /> <a href="../articles/FOCUS_L.html">Example evaluation of FOCUS Laboratory Data L1 to L3</a> </li> <li> + <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/FOCUS_Z.html">Example evaluation of FOCUS Example Dataset Z</a> </li> <li> @@ -114,34 +60,27 @@ considering the error structure that was assumed for the fit." /> <li> <a href="../articles/web_only/benchmarks.html">Some benchmark timings</a> </li> - </ul> -</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>Extract model parameters from mkinfit models</h1> - <small class="dont-index">Source: <a href='https://github.com/jranke/mkin/blob/master/R/parms.mkinfit.R'><code>R/parms.mkinfit.R</code></a></small> + <small class="dont-index">Source: <a href="https://github.com/jranke/mkin/blob/HEAD/R/parms.mkinfit.R" class="external-link"><code>R/parms.mkinfit.R</code></a></small> <div class="hidden name"><code>parms.Rd</code></div> </div> @@ -151,148 +90,147 @@ model parameters, in order to avoid working with a fitted model without considering the error structure that was assumed for the fit.</p> </div> - <pre class="usage"><span class='fu'>parms</span><span class='op'>(</span><span class='va'>object</span>, <span class='va'>...</span><span class='op'>)</span> - -<span class='co'># S3 method for mkinfit</span> -<span class='fu'>parms</span><span class='op'>(</span><span class='va'>object</span>, transformed <span class='op'>=</span> <span class='cn'>FALSE</span>, <span class='va'>...</span><span class='op'>)</span> + <div id="ref-usage"> + <div class="sourceCode"><pre class="sourceCode r"><code><span class="fu">parms</span><span class="op">(</span><span class="va">object</span>, <span class="va">...</span><span class="op">)</span> -<span class='co'># S3 method for mmkin</span> -<span class='fu'>parms</span><span class='op'>(</span><span class='va'>object</span>, transformed <span class='op'>=</span> <span class='cn'>FALSE</span>, <span class='va'>...</span><span class='op'>)</span></pre> +<span class="co"># S3 method for mkinfit</span> +<span class="fu">parms</span><span class="op">(</span><span class="va">object</span>, transformed <span class="op">=</span> <span class="cn">FALSE</span>, <span class="va">...</span><span class="op">)</span> - <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>A fitted model object. Methods are implemented for -<code><a href='mkinfit.html'>mkinfit()</a></code> objects and for <code><a href='mmkin.html'>mmkin()</a></code> objects.</p></td> - </tr> - <tr> - <th>...</th> - <td><p>Not used</p></td> - </tr> - <tr> - <th>transformed</th> - <td><p>Should the parameters be returned -as used internally during the optimisation?</p></td> - </tr> - </table> - - <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2> +<span class="co"># S3 method for mmkin</span> +<span class="fu">parms</span><span class="op">(</span><span class="va">object</span>, transformed <span class="op">=</span> <span class="cn">FALSE</span>, <span class="va">...</span><span class="op">)</span></code></pre></div> + </div> + <div id="arguments"> + <h2>Arguments</h2> + <dl><dt>object</dt> +<dd><p>A fitted model object. Methods are implemented for +<code><a href="mkinfit.html">mkinfit()</a></code> objects and for <code><a href="mmkin.html">mmkin()</a></code> objects.</p></dd> +<dt>...</dt> +<dd><p>Not used</p></dd> +<dt>transformed</dt> +<dd><p>Should the parameters be returned +as used internally during the optimisation?</p></dd> +</dl></div> + <div id="value"> + <h2>Value</h2> <p>For mkinfit objects, a numeric vector of fitted model parameters. For mmkin row objects, a matrix with the parameters with a row for each dataset. If the mmkin object has more than one row, a list of such matrices is returned.</p> + </div> - <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2> - <pre class="examples"><div class='input'><span class='co'># mkinfit objects</span> -<span class='va'>fit</span> <span class='op'><-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span><span class='op'>(</span><span class='st'>"SFO"</span>, <span class='va'>FOCUS_2006_C</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span> -<span class='fu'>parms</span><span class='op'>(</span><span class='va'>fit</span><span class='op'>)</span> -</div><div class='output co'>#> parent_0 k_parent sigma -#> 82.4921598 0.3060633 4.6730124 </div><div class='input'><span class='fu'>parms</span><span class='op'>(</span><span class='va'>fit</span>, transformed <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span> -</div><div class='output co'>#> parent_0 log_k_parent sigma -#> 82.492160 -1.183963 4.673012 </div><div class='input'> -<span class='co'># mmkin objects</span> -<span class='va'>ds</span> <span class='op'><-</span> <span class='fu'><a href='https://rdrr.io/r/base/lapply.html'>lapply</a></span><span class='op'>(</span><span class='va'>experimental_data_for_UBA_2019</span><span class='op'>[</span><span class='fl'>6</span><span class='op'>:</span><span class='fl'>10</span><span class='op'>]</span>, - <span class='kw'>function</span><span class='op'>(</span><span class='va'>x</span><span class='op'>)</span> <span class='fu'><a href='https://rdrr.io/r/base/subset.html'>subset</a></span><span class='op'>(</span><span class='va'>x</span><span class='op'>$</span><span class='va'>data</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'>"name"</span>, <span class='st'>"time"</span>, <span class='st'>"value"</span><span class='op'>)</span><span class='op'>]</span><span class='op'>)</span><span class='op'>)</span> -<span class='fu'><a href='https://rdrr.io/r/base/names.html'>names</a></span><span class='op'>(</span><span class='va'>ds</span><span class='op'>)</span> <span class='op'><-</span> <span class='fu'><a href='https://rdrr.io/r/base/paste.html'>paste</a></span><span class='op'>(</span><span class='st'>"Dataset"</span>, <span class='fl'>6</span><span class='op'>:</span><span class='fl'>10</span><span class='op'>)</span> -<span class='co'># \dontrun{</span> -<span class='va'>fits</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='va'>ds</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span>, cores <span class='op'>=</span> <span class='fl'>1</span><span class='op'>)</span> -<span class='fu'>parms</span><span class='op'>(</span><span class='va'>fits</span><span class='op'>[</span><span class='st'>"SFO"</span>, <span class='op'>]</span><span class='op'>)</span> -</div><div class='output co'>#> Dataset 6 Dataset 7 Dataset 8 Dataset 9 Dataset 10 -#> parent_0 88.52275400 82.666781678 86.8547308 91.7779306 82.14809450 -#> k_parent 0.05794659 0.009647805 0.2102974 0.1232258 0.00720421 -#> sigma 5.15274487 7.040168584 3.6769645 6.4669234 6.50457673</div><div class='input'><span class='fu'>parms</span><span class='op'>(</span><span class='va'>fits</span><span class='op'>[</span>, <span class='fl'>2</span><span class='op'>]</span><span class='op'>)</span> -</div><div class='output co'>#> $SFO -#> Dataset 7 -#> parent_0 82.666781678 -#> k_parent 0.009647805 -#> sigma 7.040168584 -#> -#> $FOMC -#> Dataset 7 -#> parent_0 92.6837649 -#> alpha 0.4967832 -#> beta 14.1451255 -#> sigma 1.9167519 -#> -#> $DFOP -#> Dataset 7 -#> parent_0 91.058971589 -#> k1 0.044946770 -#> k2 0.002868336 -#> g 0.526942415 -#> sigma 2.221302196 -#> </div><div class='input'><span class='fu'>parms</span><span class='op'>(</span><span class='va'>fits</span><span class='op'>)</span> -</div><div class='output co'>#> $SFO -#> Dataset 6 Dataset 7 Dataset 8 Dataset 9 Dataset 10 -#> parent_0 88.52275400 82.666781678 86.8547308 91.7779306 82.14809450 -#> k_parent 0.05794659 0.009647805 0.2102974 0.1232258 0.00720421 -#> sigma 5.15274487 7.040168584 3.6769645 6.4669234 6.50457673 -#> -#> $FOMC -#> Dataset 6 Dataset 7 Dataset 8 Dataset 9 Dataset 10 -#> parent_0 95.558575 92.6837649 90.719787 98.383939 94.8481459 -#> alpha 1.338667 0.4967832 1.639099 1.074460 0.2805272 -#> beta 13.033315 14.1451255 5.007077 4.397126 6.9052224 -#> sigma 1.847671 1.9167519 1.066063 3.146056 1.6222778 -#> -#> $DFOP -#> Dataset 6 Dataset 7 Dataset 8 Dataset 9 Dataset 10 -#> parent_0 96.55213663 91.058971589 90.34509493 98.14858820 94.311323734 -#> k1 0.21954588 0.044946770 0.41232288 0.31697588 0.080663857 -#> k2 0.02957934 0.002868336 0.07581766 0.03260384 0.003425417 -#> g 0.44845068 0.526942415 0.66091967 0.65322767 0.342652880 -#> sigma 1.35690468 2.221302196 1.34169076 2.87159846 1.942067831 -#> </div><div class='input'><span class='fu'>parms</span><span class='op'>(</span><span class='va'>fits</span>, transformed <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span> -</div><div class='output co'>#> $SFO -#> Dataset 6 Dataset 7 Dataset 8 Dataset 9 Dataset 10 -#> parent_0 88.522754 82.666782 86.854731 91.777931 82.148094 -#> log_k_parent -2.848234 -4.641025 -1.559232 -2.093737 -4.933090 -#> sigma 5.152745 7.040169 3.676964 6.466923 6.504577 -#> -#> $FOMC -#> Dataset 6 Dataset 7 Dataset 8 Dataset 9 Dataset 10 -#> parent_0 95.5585751 92.6837649 90.7197870 98.38393897 94.848146 -#> log_alpha 0.2916741 -0.6996015 0.4941466 0.07181816 -1.271085 -#> log_beta 2.5675088 2.6493701 1.6108523 1.48095106 1.932278 -#> sigma 1.8476712 1.9167519 1.0660627 3.14605557 1.622278 -#> -#> $DFOP -#> Dataset 6 Dataset 7 Dataset 8 Dataset 9 Dataset 10 -#> parent_0 96.5521366 91.0589716 90.3450949 98.1485882 94.3113237 -#> log_k1 -1.5161940 -3.1022764 -0.8859486 -1.1489296 -2.5174647 -#> log_k2 -3.5206791 -5.8540232 -2.5794240 -3.4233253 -5.6765322 -#> g_qlogis -0.2069326 0.1078741 0.6673953 0.6332573 -0.6514943 -#> sigma 1.3569047 2.2213022 1.3416908 2.8715985 1.9420678 -#> </div><div class='input'><span class='co'># }</span> -</div></pre> + <div id="ref-examples"> + <h2>Examples</h2> + <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span class="co"># mkinfit objects</span></span> +<span class="r-in"><span class="va">fit</span> <span class="op"><-</span> <span class="fu"><a href="mkinfit.html">mkinfit</a></span><span class="op">(</span><span class="st">"SFO"</span>, <span class="va">FOCUS_2006_C</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span> +<span class="r-in"><span class="fu">parms</span><span class="op">(</span><span class="va">fit</span><span class="op">)</span></span> +<span class="r-out co"><span class="r-pr">#></span> parent_0 k_parent sigma </span> +<span class="r-out co"><span class="r-pr">#></span> 82.4921598 0.3060633 4.6730124 </span> +<span class="r-in"><span class="fu">parms</span><span class="op">(</span><span class="va">fit</span>, transformed <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span> +<span class="r-out co"><span class="r-pr">#></span> parent_0 log_k_parent sigma </span> +<span class="r-out co"><span class="r-pr">#></span> 82.492160 -1.183963 4.673012 </span> +<span class="r-in"></span> +<span class="r-in"><span class="co"># mmkin objects</span></span> +<span class="r-in"><span class="va">ds</span> <span class="op"><-</span> <span class="fu"><a href="https://rdrr.io/r/base/lapply.html" class="external-link">lapply</a></span><span class="op">(</span><span class="va">experimental_data_for_UBA_2019</span><span class="op">[</span><span class="fl">6</span><span class="op">:</span><span class="fl">10</span><span class="op">]</span>,</span> +<span class="r-in"> <span class="kw">function</span><span class="op">(</span><span class="va">x</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">x</span><span class="op">$</span><span class="va">data</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">"name"</span>, <span class="st">"time"</span>, <span class="st">"value"</span><span class="op">)</span><span class="op">]</span><span class="op">)</span><span class="op">)</span></span> +<span class="r-in"><span class="fu"><a href="https://rdrr.io/r/base/names.html" class="external-link">names</a></span><span class="op">(</span><span class="va">ds</span><span class="op">)</span> <span class="op"><-</span> <span class="fu"><a href="https://rdrr.io/r/base/paste.html" class="external-link">paste</a></span><span class="op">(</span><span class="st">"Dataset"</span>, <span class="fl">6</span><span class="op">:</span><span class="fl">10</span><span class="op">)</span></span> +<span class="r-in"><span class="co"># \dontrun{</span></span> +<span class="r-in"><span class="va">fits</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 class="va">ds</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span>, cores <span class="op">=</span> <span class="fl">1</span><span class="op">)</span></span> +<span class="r-in"><span class="fu">parms</span><span class="op">(</span><span class="va">fits</span><span class="op">[</span><span class="st">"SFO"</span>, <span class="op">]</span><span class="op">)</span></span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 6 Dataset 7 Dataset 8 Dataset 9 Dataset 10</span> +<span class="r-out co"><span class="r-pr">#></span> parent_0 88.52275400 82.666781678 86.8547308 91.7779306 82.14809450</span> +<span class="r-out co"><span class="r-pr">#></span> k_parent 0.05794659 0.009647805 0.2102974 0.1232258 0.00720421</span> +<span class="r-out co"><span class="r-pr">#></span> sigma 5.15274487 7.040168584 3.6769645 6.4669234 6.50457673</span> +<span class="r-in"><span class="fu">parms</span><span class="op">(</span><span class="va">fits</span><span class="op">[</span>, <span class="fl">2</span><span class="op">]</span><span class="op">)</span></span> +<span class="r-out co"><span class="r-pr">#></span> $SFO</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 7</span> +<span class="r-out co"><span class="r-pr">#></span> parent_0 82.666781678</span> +<span class="r-out co"><span class="r-pr">#></span> k_parent 0.009647805</span> +<span class="r-out co"><span class="r-pr">#></span> sigma 7.040168584</span> +<span class="r-out co"><span class="r-pr">#></span> </span> +<span class="r-out co"><span class="r-pr">#></span> $FOMC</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 7</span> +<span class="r-out co"><span class="r-pr">#></span> parent_0 92.6837649</span> +<span class="r-out co"><span class="r-pr">#></span> alpha 0.4967832</span> +<span class="r-out co"><span class="r-pr">#></span> beta 14.1451255</span> +<span class="r-out co"><span class="r-pr">#></span> sigma 1.9167519</span> +<span class="r-out co"><span class="r-pr">#></span> </span> +<span class="r-out co"><span class="r-pr">#></span> $DFOP</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 7</span> +<span class="r-out co"><span class="r-pr">#></span> parent_0 91.058971589</span> +<span class="r-out co"><span class="r-pr">#></span> k1 0.044946770</span> +<span class="r-out co"><span class="r-pr">#></span> k2 0.002868336</span> +<span class="r-out co"><span class="r-pr">#></span> g 0.526942415</span> +<span class="r-out co"><span class="r-pr">#></span> sigma 2.221302196</span> +<span class="r-out co"><span class="r-pr">#></span> </span> +<span class="r-in"><span class="fu">parms</span><span class="op">(</span><span class="va">fits</span><span class="op">)</span></span> +<span class="r-out co"><span class="r-pr">#></span> $SFO</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 6 Dataset 7 Dataset 8 Dataset 9 Dataset 10</span> +<span class="r-out co"><span class="r-pr">#></span> parent_0 88.52275400 82.666781678 86.8547308 91.7779306 82.14809450</span> +<span class="r-out co"><span class="r-pr">#></span> k_parent 0.05794659 0.009647805 0.2102974 0.1232258 0.00720421</span> +<span class="r-out co"><span class="r-pr">#></span> sigma 5.15274487 7.040168584 3.6769645 6.4669234 6.50457673</span> +<span class="r-out co"><span class="r-pr">#></span> </span> +<span class="r-out co"><span class="r-pr">#></span> $FOMC</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 6 Dataset 7 Dataset 8 Dataset 9 Dataset 10</span> +<span class="r-out co"><span class="r-pr">#></span> parent_0 95.558575 92.6837649 90.719787 98.383939 94.8481459</span> +<span class="r-out co"><span class="r-pr">#></span> alpha 1.338667 0.4967832 1.639099 1.074460 0.2805272</span> +<span class="r-out co"><span class="r-pr">#></span> beta 13.033315 14.1451255 5.007077 4.397126 6.9052224</span> +<span class="r-out co"><span class="r-pr">#></span> sigma 1.847671 1.9167519 1.066063 3.146056 1.6222778</span> +<span class="r-out co"><span class="r-pr">#></span> </span> +<span class="r-out co"><span class="r-pr">#></span> $DFOP</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 6 Dataset 7 Dataset 8 Dataset 9 Dataset 10</span> +<span class="r-out co"><span class="r-pr">#></span> parent_0 96.55213663 91.058971589 90.34509493 98.14858820 94.311323734</span> +<span class="r-out co"><span class="r-pr">#></span> k1 0.21954588 0.044946770 0.41232288 0.31697588 0.080663857</span> +<span class="r-out co"><span class="r-pr">#></span> k2 0.02957934 0.002868336 0.07581766 0.03260384 0.003425417</span> +<span class="r-out co"><span class="r-pr">#></span> g 0.44845068 0.526942415 0.66091967 0.65322767 0.342652880</span> +<span class="r-out co"><span class="r-pr">#></span> sigma 1.35690468 2.221302196 1.34169076 2.87159846 1.942067831</span> +<span class="r-out co"><span class="r-pr">#></span> </span> +<span class="r-in"><span class="fu">parms</span><span class="op">(</span><span class="va">fits</span>, transformed <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span> +<span class="r-out co"><span class="r-pr">#></span> $SFO</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 6 Dataset 7 Dataset 8 Dataset 9 Dataset 10</span> +<span class="r-out co"><span class="r-pr">#></span> parent_0 88.522754 82.666782 86.854731 91.777931 82.148094</span> +<span class="r-out co"><span class="r-pr">#></span> log_k_parent -2.848234 -4.641025 -1.559232 -2.093737 -4.933090</span> +<span class="r-out co"><span class="r-pr">#></span> sigma 5.152745 7.040169 3.676964 6.466923 6.504577</span> +<span class="r-out co"><span class="r-pr">#></span> </span> +<span class="r-out co"><span class="r-pr">#></span> $FOMC</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 6 Dataset 7 Dataset 8 Dataset 9 Dataset 10</span> +<span class="r-out co"><span class="r-pr">#></span> parent_0 95.5585751 92.6837649 90.7197870 98.38393897 94.848146</span> +<span class="r-out co"><span class="r-pr">#></span> log_alpha 0.2916741 -0.6996015 0.4941466 0.07181816 -1.271085</span> +<span class="r-out co"><span class="r-pr">#></span> log_beta 2.5675088 2.6493701 1.6108523 1.48095106 1.932278</span> +<span class="r-out co"><span class="r-pr">#></span> sigma 1.8476712 1.9167519 1.0660627 3.14605557 1.622278</span> +<span class="r-out co"><span class="r-pr">#></span> </span> +<span class="r-out co"><span class="r-pr">#></span> $DFOP</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 6 Dataset 7 Dataset 8 Dataset 9 Dataset 10</span> +<span class="r-out co"><span class="r-pr">#></span> parent_0 96.5521366 91.0589716 90.3450949 98.1485882 94.3113237</span> +<span class="r-out co"><span class="r-pr">#></span> log_k1 -1.5161940 -3.1022764 -0.8859486 -1.1489296 -2.5174647</span> +<span class="r-out co"><span class="r-pr">#></span> log_k2 -3.5206791 -5.8540232 -2.5794240 -3.4233253 -5.6765322</span> +<span class="r-out co"><span class="r-pr">#></span> g_qlogis -0.2069326 0.1078741 0.6673953 0.6332573 -0.6514943</span> +<span class="r-out co"><span class="r-pr">#></span> sigma 1.3569047 2.2213022 1.3416908 2.8715985 1.9420678</span> +<span class="r-out co"><span class="r-pr">#></span> </span> +<span class="r-in"><span class="co"># }</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"> - <p>Developed by Johannes Ranke.</p> + <footer><div class="copyright"> + <p></p><p>Developed by Johannes Ranke.</p> </div> <div class="pkgdown"> - <p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.6.1.</p> + <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.2.</p> </div> - </footer> - </div> + 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