From 0b98c459c30a0629a728acf6b311de035c55fb64 Mon Sep 17 00:00:00 2001
From: Johannes Ranke <jranke@uni-bremen.de>
Date: Wed, 18 Jul 2018 15:18:30 +0200
Subject: Correct references to the Rocke and Lorenzato model

Rename 'sigma_rl' to 'sigma_twocomp' as the Rocke and Lorenzato model assumes lognormal distribution for large y.
Rebuild static documentation.
---
 docs/articles/compiled_models.html | 18 +++++++++---------
 1 file changed, 9 insertions(+), 9 deletions(-)

(limited to 'docs/articles/compiled_models.html')

diff --git a/docs/articles/compiled_models.html b/docs/articles/compiled_models.html
index 379176bf..183c9658 100644
--- a/docs/articles/compiled_models.html
+++ b/docs/articles/compiled_models.html
@@ -29,7 +29,7 @@
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="label label-default" data-toggle="tooltip" data-placement="bottom" title="Released package">0.9.47.1</span>
+        <span class="label label-default" data-toggle="tooltip" data-placement="bottom" title="Released package">0.9.47.2</span>
       </span>
     </div>
 
@@ -84,7 +84,7 @@
       <h1>Performance benefit by using compiled model definitions in mkin</h1>
                         <h4 class="author">Johannes Ranke</h4>
             
-            <h4 class="date">2018-06-06</h4>
+            <h4 class="date">2018-07-18</h4>
       
       
       <div class="hidden name"><code>compiled_models.Rmd</code></div>
@@ -125,14 +125,14 @@ SFO_SFO &lt;-<span class="st"> </span><span class="kw"><a href="../reference/mki
 }</code></pre></div>
 <pre><code>## Lade nötiges Paket: rbenchmark</code></pre>
 <pre><code>##                    test replications elapsed relative user.self sys.self
-## 3     deSolve, compiled            3   2.335    1.000     2.333        0
-## 1 deSolve, not compiled            3  16.810    7.199    16.801        0
-## 2      Eigenvalue based            3   2.882    1.234     2.879        0
+## 3     deSolve, compiled            3   2.044    1.000     2.043        0
+## 1 deSolve, not compiled            3  16.571    8.107    16.565        0
+## 2      Eigenvalue based            3   2.499    1.223     2.496        0
 ##   user.child sys.child
 ## 3          0         0
 ## 1          0         0
 ## 2          0         0</code></pre>
-<p>We see that using the compiled model is by a factor of around 7 faster than using the R version with the default ode solver, and it is even faster than the Eigenvalue based solution implemented in R which does not need iterative solution of the ODEs.</p>
+<p>We see that using the compiled model is by a factor of around 8 faster than using the R version with the default ode solver, and it is even faster than the Eigenvalue based solution implemented in R which does not need iterative solution of the ODEs.</p>
 </div>
 <div id="model-that-can-not-be-solved-with-eigenvalues" class="section level2">
 <h2 class="hasAnchor">
@@ -156,14 +156,14 @@ SFO_SFO &lt;-<span class="st"> </span><span class="kw"><a href="../reference/mki
 }</code></pre></div>
 <pre><code>## Successfully compiled differential equation model from auto-generated C code.</code></pre>
 <pre><code>##                    test replications elapsed relative user.self sys.self
-## 2     deSolve, compiled            3   3.766    1.000     3.764        0
-## 1 deSolve, not compiled            3  37.119    9.856    37.097        0
+## 2     deSolve, compiled            3   3.592    1.000     3.589        0
+## 1 deSolve, not compiled            3  35.340    9.839    35.324        0
 ##   user.child sys.child
 ## 2          0         0
 ## 1          0         0</code></pre>
 <p>Here we get a performance benefit of a factor of 10 using the version of the differential equation model compiled from C code!</p>
 <p>This vignette was built with mkin 0.9.47.1 on</p>
-<pre><code>## R version 3.5.0 (2018-04-23)
+<pre><code>## R version 3.5.1 (2018-07-02)
 ## Platform: x86_64-pc-linux-gnu (64-bit)
 ## Running under: Debian GNU/Linux 9 (stretch)</code></pre>
 <pre><code>## CPU model: AMD Ryzen 7 1700 Eight-Core Processor</code></pre>
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