Static documentation rebuilt by pkgdown

1 files changed, 32 insertions, 33 deletions

diff --git a/docs/reference/add_err.html b/docs/reference/add_err.html
index eeaf9e5b..67789694 100644
--- a/docs/reference/add_err.html
+++ b/docs/reference/add_err.html
@@ -8,11 +8,13 @@
 
 <title>Add normally distributed errors to simulated kinetic degradation data — add_err • mkin</title>
 
+
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@@ -32,15 +34,16 @@
 
 
 
-<meta property="og:title" content="Add normally distributed errors to simulated kinetic degradation data — add_err" />
 
+<meta property="og:title" content="Add normally distributed errors to simulated kinetic degradation data — add_err" />
 <meta property="og:description" content="Normally distributed errors are added to data predicted for a specific
-  degradation model using mkinpredict. The variance of the error
-  may depend on the predicted value and is specified as a standard deviation." />
+degradation model using mkinpredict. The variance of the error
+may depend on the predicted value and is specified as a standard deviation." />
 <meta name="twitter:card" content="summary" />
 
 
 
+
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@@ -111,7 +114,6 @@
   <a href="../news/index.html">News</a>
 </li>
       </ul>
-      
       <ul class="nav navbar-nav navbar-right">
         
       </ul>
@@ -133,33 +135,32 @@
     </div>
 
     <div class="ref-description">
-    
     <p>Normally distributed errors are added to data predicted for a specific
-  degradation model using <code><a href='mkinpredict.html'>mkinpredict</a></code>. The variance of the error
-  may depend on the predicted value and is specified as a standard deviation.</p>
-    
+degradation model using <code><a href='mkinpredict.html'>mkinpredict</a></code>. The variance of the error
+may depend on the predicted value and is specified as a standard deviation.</p>
     </div>
 
-    <pre class="usage"><span class='fu'>add_err</span>(<span class='no'>prediction</span>, <span class='no'>sdfunc</span>, <span class='kw'>secondary</span> <span class='kw'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='st'>"M1"</span>, <span class='st'>"M2"</span>),
-          <span class='kw'>n</span> <span class='kw'>=</span> <span class='fl'>1000</span>, <span class='kw'>LOD</span> <span class='kw'>=</span> <span class='fl'>0.1</span>, <span class='kw'>reps</span> <span class='kw'>=</span> <span class='fl'>2</span>,
-          <span class='kw'>digits</span> <span class='kw'>=</span> <span class='fl'>1</span>, <span class='kw'>seed</span> <span class='kw'>=</span> <span class='fl'>NA</span>)</pre>
-    
+    <pre class="usage"><span class='fu'>add_err</span>(<span class='no'>prediction</span>, <span class='no'>sdfunc</span>, <span class='kw'>secondary</span> <span class='kw'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='st'>"M1"</span>, <span class='st'>"M2"</span>), <span class='kw'>n</span> <span class='kw'>=</span> <span class='fl'>1000</span>,
+  <span class='kw'>LOD</span> <span class='kw'>=</span> <span class='fl'>0.1</span>, <span class='kw'>reps</span> <span class='kw'>=</span> <span class='fl'>2</span>, <span class='kw'>digits</span> <span class='kw'>=</span> <span class='fl'>1</span>, <span class='kw'>seed</span> <span class='kw'>=</span> <span class='fl'>NA</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>prediction</th>
-      <td><p>A prediction from a kinetic model as produced by <code><a href='mkinpredict.html'>mkinpredict</a></code>.</p></td>
+      <td><p>A prediction from a kinetic model as produced by
+<code><a href='mkinpredict.html'>mkinpredict</a></code>.</p></td>
     </tr>
     <tr>
       <th>sdfunc</th>
-      <td><p>A function taking the predicted value as its only argument and returning
-    a standard deviation that should be used for generating the random error
-    terms for this value.</p></td>
+      <td><p>A function taking the predicted value as its only argument and
+returning a standard deviation that should be used for generating the
+random error terms for this value.</p></td>
     </tr>
     <tr>
       <th>secondary</th>
-      <td><p>The names of state variables that should have an initial value of zero</p></td>
+      <td><p>The names of state variables that should have an initial
+value of zero</p></td>
     </tr>
     <tr>
       <th>n</th>
@@ -167,8 +168,8 @@
     </tr>
     <tr>
       <th>LOD</th>
-      <td><p>The limit of detection (LOD). Values that are below the LOD after adding
-    the random error will be set to NA.</p></td>
+      <td><p>The limit of detection (LOD). Values that are below the LOD after
+adding the random error will be set to NA.</p></td>
     </tr>
     <tr>
       <th>reps</th>
@@ -180,25 +181,25 @@
     </tr>
     <tr>
       <th>seed</th>
-      <td><p>The seed used for the generation of random numbers. If NA, the seed
-    is not set.</p></td>
+      <td><p>The seed used for the generation of random numbers. If NA, the
+seed is not set.</p></td>
     </tr>
     </table>
-    
+
     <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
 
-    <p>A list of datasets compatible with <code><a href='mmkin.html'>mmkin</a></code>, i.e.
-  the components of the list are datasets compatible with
-  <code><a href='mkinfit.html'>mkinfit</a></code>.</p>
-    
+    <p>A list of datasets compatible with <code><a href='mmkin.html'>mmkin</a></code>, i.e. the
+  components of the list are datasets compatible with <code><a href='mkinfit.html'>mkinfit</a></code>.</p>
     <h2 class="hasAnchor" id="references"><a class="anchor" href="#references"></a>References</h2>
 
-    <p>Ranke J and Lehmann R (2015) To t-test or not to t-test, that is the question. XV Symposium on Pesticide Chemistry 2-4 September 2015, Piacenza, Italy
-  http://chem.uft.uni-bremen.de/ranke/posters/piacenza_2015.pdf</p>
-    
+    <p>Ranke J and Lehmann R (2015) To t-test or not to t-test, that is
+the question. XV Symposium on Pesticide Chemistry 2-4 September 2015,
+Piacenza, Italy
+http://chem.uft.uni-bremen.de/ranke/posters/piacenza_2015.pdf</p>
 
     <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
-    <pre class="examples"><div class='input'><span class='co'># The kinetic model</span>
+    <pre class="examples"><div class='input'>
+<span class='co'># The kinetic model</span>
 <span class='no'>m_SFO_SFO</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='mkinmod.html'>mkinmod</a></span>(<span class='kw'>parent</span> <span class='kw'>=</span> <span class='fu'><a href='mkinsub.html'>mkinsub</a></span>(<span class='st'>"SFO"</span>, <span class='st'>"M1"</span>),
                      <span class='kw'>M1</span> <span class='kw'>=</span> <span class='fu'><a href='mkinsub.html'>mkinsub</a></span>(<span class='st'>"SFO"</span>), <span class='kw'>use_of_ff</span> <span class='kw'>=</span> <span class='st'>"max"</span>)</div><div class='output co'>#&gt; <span class='message'>Successfully compiled differential equation model from auto-generated C code.</span></div><div class='input'>
 <span class='co'># Generate a prediction for a specific set of parameters</span>
@@ -235,17 +236,15 @@
 <span class='co'># If we use single brackets, we should give two indices (model and dataset),</span>
 <span class='co'># and plot.mmkin is used</span>
 <span class='fu'><a href='https://rdrr.io/r/graphics/plot.html'>plot</a></span>(<span class='no'>f_SFO_SFO</span>[<span class='fl'>1</span>, <span class='fl'>3</span>])</div><div class='img'><img src='add_err-3.png' alt='' width='700' height='433' /></div><div class='input'># }
+
 </div></pre>
   </div>
   <div class="col-md-3 hidden-xs hidden-sm" id="sidebar">
     <h2>Contents</h2>
     <ul class="nav nav-pills nav-stacked">
       <li><a href="#arguments">Arguments</a></li>
-      
       <li><a href="#value">Value</a></li>
-
       <li><a href="#references">References</a></li>
-      
       <li><a href="#examples">Examples</a></li>
     </ul>