Rebuild docs with updated PR for pkgdown

1 files changed, 21 insertions, 15 deletions

diff --git a/docs/articles/compiled_models.html b/docs/articles/compiled_models.html
index 09039f62..e1572b17 100644
--- a/docs/articles/compiled_models.html
+++ b/docs/articles/compiled_models.html
@@ -24,7 +24,13 @@
 <li>
   <a href="../news/index.html">News</a>
 </li>
-      </ul><ul class="nav navbar-nav navbar-right"></ul></div><!--/.nav-collapse -->
+      </ul><ul class="nav navbar-nav navbar-right"><li>
+  <a href="http://github.com/jranke/mkin">
+    <span class="fa fa-github fa-lg"></span>
+     
+  </a>
+</li>
+      </ul></div><!--/.nav-collapse -->
   </div><!--/.container -->
 </div><!--/.navbar -->
 
@@ -72,21 +78,21 @@ mb<span class="fl">.1</span> &lt;-<span class="st"> </span><span class="kw">micr
 <span class="kw">print</span>(mb<span class="fl">.1</span>)</code></pre></div>
 <pre><code>## Unit: milliseconds
 ##                   expr       min        lq      mean    median        uq
-##  deSolve, not compiled 6581.1731 6598.7831 6630.0395 6616.3931 6654.4726
-##       Eigenvalue based  880.1617  890.3517  911.2758  900.5416  926.8328
-##      deSolve, compiled  739.4343  749.6078  753.6543  759.7813  760.7643
+##  deSolve, not compiled 6326.4518 6378.7429 6476.2219 6431.0341 6551.1069
+##       Eigenvalue based  925.7797  935.9924  939.8725  946.2051  946.9189
+##      deSolve, compiled  740.2821  750.0017  767.8440  759.7212  781.6249
 ##        max neval cld
-##  6692.5522     3   c
-##   953.1240     3  b 
-##   761.7474     3 a</code></pre>
+##  6671.1797     3   b
+##   947.6327     3  a 
+##   803.5287     3  a</code></pre>
 <div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">autoplot</span>(mb<span class="fl">.1</span>)</code></pre></div>
 <p><img src="compiled_models_files/figure-html/benchmark_SFO_SFO-1.png" width="672"></p>
-<p>We see that using the compiled model is by a factor of 8.7 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 8.5 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 class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">rownames</span>(smb<span class="fl">.1</span>) &lt;-<span class="st"> </span>smb<span class="fl">.1</span>$expr
 smb<span class="fl">.1</span>[<span class="st">"median"</span>]/smb<span class="fl">.1</span>[<span class="st">"deSolve, compiled"</span>, <span class="st">"median"</span>]</code></pre></div>
 <pre><code>##                         median
-## deSolve, not compiled 8.708286
-## Eigenvalue based      1.185264
+## deSolve, not compiled 8.464993
+## Eigenvalue based      1.245464
 ## deSolve, compiled     1.000000</code></pre>
 </div>
 <div id="model-that-can-not-be-solved-with-eigenvalues" class="section level2">
@@ -108,18 +114,18 @@ smb<span class="fl">.1</span>[<span class="st">"median"</span>]/smb<span class="
 <span class="kw">print</span>(mb<span class="fl">.2</span>)</code></pre></div>
 <pre><code>## Unit: seconds
 ##                   expr       min        lq      mean    median        uq
-##  deSolve, not compiled 13.756286 13.813205 13.874083 13.870125 13.932982
-##      deSolve, compiled  1.323196  1.372916  1.391915  1.422635  1.426274
+##  deSolve, not compiled 13.619556 13.761382 13.825679 13.903207 13.928741
+##      deSolve, compiled  1.316871  1.322577  1.358847  1.328283  1.379834
 ##        max neval cld
-##  13.995838     3   b
-##   1.429913     3  a</code></pre>
+##  13.954275     3   b
+##   1.431386     3  a</code></pre>
 <div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">smb<span class="fl">.2</span>[<span class="st">"median"</span>]/smb<span class="fl">.2</span>[<span class="st">"deSolve, compiled"</span>, <span class="st">"median"</span>]</code></pre></div>
 <pre><code>##   median
 ## 1     NA
 ## 2     NA</code></pre>
 <div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">autoplot</span>(mb<span class="fl">.2</span>)</code></pre></div>
 <p><img src="compiled_models_files/figure-html/benchmark_FOMC_SFO-1.png" width="672"></p>
-<p>Here we get a performance benefit of a factor of 9.7 using the version of the differential equation model compiled from C code!</p>
+<p>Here we get a performance benefit of a factor of 10.5 using the version of the differential equation model compiled from C code!</p>
 <p>This vignette was built with mkin 0.9.44.9000 on</p>
 <pre><code>## R version 3.3.2 (2016-10-31)
 ## Platform: x86_64-pc-linux-gnu (64-bit)