Fix another URL, vignette builder, rebuild

9 files changed, 69 insertions, 65 deletions

diff --git a/GNUmakefile b/GNUmakefile
index fc8935a9..193de825 100644
--- a/GNUmakefile
+++ b/GNUmakefile
@@ -78,7 +78,7 @@ README.html: README.md
 vignettes/%.pdf: vignettes/header.tex vignettes/references.bib vignettes/%.Rnw
 	"$(RBIN)/Rscript" -e "tools::buildVignette(file = 'vignettes/$*.Rnw', dir = 'vignettes')"
 
-vignettes/%.html: vignettes/mkin_vignettes.css vignettes/%.Rmd
+vignettes/%.html: vignettes/mkin_vignettes.css vignettes/references.bib vignettes/%.Rmd
 	"$(RBIN)/Rscript" -e "tools::buildVignette(file = 'vignettes/$*.Rmd', dir = 'vignettes')"
 
 vignettes: vignettes/mkin.html vignettes/FOCUS_D.html vignettes/FOCUS_L.html vignettes/FOCUS_Z.pdf vignettes/compiled_models.html
diff --git a/vignettes/FOCUS_D.html b/vignettes/FOCUS_D.html
index 5da77efa..44bbe062 100644
--- a/vignettes/FOCUS_D.html
+++ b/vignettes/FOCUS_D.html
@@ -11,7 +11,7 @@
 
 <meta name="author" content="Johannes Ranke" />
 
-<meta name="date" content="2017-05-05" />
+<meta name="date" content="2017-07-21" />
 
 <title>Example evaluation of FOCUS Example Dataset D</title>
 
@@ -119,7 +119,7 @@ $(document).ready(function () {
 
 <h1 class="title toc-ignore">Example evaluation of FOCUS Example Dataset D</h1>
 <h4 class="author"><em>Johannes Ranke</em></h4>
-<h4 class="date"><em>2017-05-05</em></h4>
+<h4 class="date"><em>2017-07-21</em></h4>
 
 </div>
 
@@ -190,16 +190,16 @@ $(document).ready(function () {
 <pre class="r"><code>fit &lt;- mkinfit(SFO_SFO, FOCUS_2006_D, quiet = TRUE)</code></pre>
 <p>A plot of the fit including a residual plot for both observed variables is obtained using the <code>plot_sep</code> method for <code>mkinfit</code> objects, which shows separate graphs for all compounds and their residuals.</p>
 <pre class="r"><code>plot_sep(fit, lpos = c(&quot;topright&quot;, &quot;bottomright&quot;))</code></pre>
-<p><img src="data:image/png;base64,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" 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" /><!-- --></p>
 <p>Confidence intervals for the parameter estimates are obtained using the <code>mkinparplot</code> function.</p>
 <pre class="r"><code>mkinparplot(fit)</code></pre>
-<p><img src="data:image/png;base64,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" /><!-- --></p>
+<p><img src="data:image/png;base64,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" /><!-- --></p>
 <p>A comprehensive report of the results is obtained using the <code>summary</code> method for <code>mkinfit</code> objects.</p>
 <pre class="r"><code>summary(fit)</code></pre>
-<pre><code>## mkin version:    0.9.45 
-## R version:       3.4.0 
-## Date of fit:     Fri May  5 12:14:00 2017 
-## Date of summary: Fri May  5 12:14:00 2017 
+<pre><code>## mkin version:    0.9.45.2 
+## R version:       3.4.1 
+## Date of fit:     Fri Jul 21 18:02:19 2017 
+## Date of summary: Fri Jul 21 18:02:20 2017 
 ## 
 ## Equations:
 ## d_parent/dt = - k_parent_sink * parent - k_parent_m1 * parent
@@ -207,7 +207,7 @@ $(document).ready(function () {
 ## 
 ## Model predictions using solution type deSolve 
 ## 
-## Fitted with method Port using 153 model solutions performed in 1.033 s
+## Fitted with method Port using 153 model solutions performed in 1.059 s
 ## 
 ## Weighting: none
 ## 
diff --git a/vignettes/FOCUS_L.html b/vignettes/FOCUS_L.html
index fd531133..180c0323 100644
--- a/vignettes/FOCUS_L.html
+++ b/vignettes/FOCUS_L.html
@@ -11,7 +11,7 @@
 
 <meta name="author" content="Johannes Ranke" />
 
-<meta name="date" content="2017-05-05" />
+<meta name="date" content="2017-07-21" />
 
 <title>Example evaluation of FOCUS Laboratory Data L1 to L3</title>
 
@@ -223,7 +223,7 @@ div.tocify {
 
 <h1 class="title toc-ignore">Example evaluation of FOCUS Laboratory Data L1 to L3</h1>
 <h4 class="author"><em>Johannes Ranke</em></h4>
-<h4 class="date"><em>2017-05-05</em></h4>
+<h4 class="date"><em>2017-07-21</em></h4>
 
 </div>
 
@@ -242,17 +242,17 @@ FOCUS_2006_L1_mkin &lt;- mkin_wide_to_long(FOCUS_2006_L1)</code></pre>
 <p>Since mkin version 0.9-32 (July 2014), we can use shorthand notation like <code>&quot;SFO&quot;</code> for parent only degradation models. The following two lines fit the model and produce the summary report of the model fit. This covers the numerical analysis given in the FOCUS report.</p>
 <pre class="r"><code>m.L1.SFO &lt;- mkinfit(&quot;SFO&quot;, FOCUS_2006_L1_mkin, quiet = TRUE)
 summary(m.L1.SFO)</code></pre>
-<pre><code>## mkin version:    0.9.45 
-## R version:       3.4.0 
-## Date of fit:     Fri May  5 12:14:02 2017 
-## Date of summary: Fri May  5 12:14:02 2017 
+<pre><code>## mkin version:    0.9.45.2 
+## R version:       3.4.1 
+## Date of fit:     Fri Jul 21 18:02:22 2017 
+## Date of summary: Fri Jul 21 18:02:22 2017 
 ## 
 ## Equations:
 ## d_parent/dt = - k_parent_sink * parent
 ## 
 ## Model predictions using solution type analytical 
 ## 
-## Fitted with method Port using 37 model solutions performed in 0.263 s
+## Fitted with method Port using 37 model solutions performed in 0.258 s
 ## 
 ## Weighting: none
 ## 
@@ -324,21 +324,21 @@ summary(m.L1.SFO)</code></pre>
 ##    30   parent      4.0     5.251  -1.2513</code></pre>
 <p>A plot of the fit is obtained with the plot function for mkinfit objects.</p>
 <pre class="r"><code>plot(m.L1.SFO, show_errmin = TRUE, main = &quot;FOCUS L1 - SFO&quot;)</code></pre>
-<p><img src="data:image/png;base64,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" 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" /><!-- --></p>
 <p>The residual plot can be easily obtained by</p>
 <pre class="r"><code>mkinresplot(m.L1.SFO, ylab = &quot;Observed&quot;, xlab = &quot;Time&quot;)</code></pre>
-<p><img src="data:image/png;base64,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" /><!-- --></p>
+<p><img src="data:image/png;base64,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" /><!-- --></p>
 <p>For comparison, the FOMC model is fitted as well, and the <span class="math inline"><em>χ</em><sup>2</sup></span> error level is checked.</p>
 <pre class="r"><code>m.L1.FOMC &lt;- mkinfit(&quot;FOMC&quot;, FOCUS_2006_L1_mkin, quiet=TRUE)</code></pre>
 <pre><code>## Warning in mkinfit(&quot;FOMC&quot;, FOCUS_2006_L1_mkin, quiet = TRUE): Optimisation by method Port did not converge.
 ## Convergence code is 1</code></pre>
 <pre class="r"><code>plot(m.L1.FOMC, show_errmin = TRUE, main = &quot;FOCUS L1 - FOMC&quot;)</code></pre>
-<p><img src="data:image/png;base64,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" 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" /><!-- --></p>
 <pre class="r"><code>summary(m.L1.FOMC, data = FALSE)</code></pre>
-<pre><code>## mkin version:    0.9.45 
-## R version:       3.4.0 
-## Date of fit:     Fri May  5 12:14:03 2017 
-## Date of summary: Fri May  5 12:14:03 2017 
+<pre><code>## mkin version:    0.9.45.2 
+## R version:       3.4.1 
+## Date of fit:     Fri Jul 21 18:02:23 2017 
+## Date of summary: Fri Jul 21 18:02:23 2017 
 ## 
 ## 
 ## Warning: Optimisation by method Port did not converge.
@@ -350,7 +350,7 @@ summary(m.L1.SFO)</code></pre>
 ## 
 ## Model predictions using solution type analytical 
 ## 
-## Fitted with method Port using 155 model solutions performed in 0.439 s
+## Fitted with method Port using 155 model solutions performed in 0.445 s
 ## 
 ## Weighting: none
 ## 
@@ -419,7 +419,7 @@ FOCUS_2006_L2_mkin &lt;- mkin_wide_to_long(FOCUS_2006_L2)</code></pre>
 <pre class="r"><code>m.L2.SFO &lt;- mkinfit(&quot;SFO&quot;, FOCUS_2006_L2_mkin, quiet=TRUE)
 plot(m.L2.SFO, show_residuals = TRUE, show_errmin = TRUE,
      main = &quot;FOCUS L2 - SFO&quot;)</code></pre>
-<p><img 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" 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" /><!-- --></p>
 <p>The <span class="math inline"><em>χ</em><sup>2</sup></span> error level of 14% suggests that the model does not fit very well. This is also obvious from the plots of the fit, in which we have included the residual plot.</p>
 <p>In the FOCUS kinetics report, it is stated that there is no apparent systematic error observed from the residual plot up to the measured DT90 (approximately at day 5), and there is an underestimation beyond that point.</p>
 <p>We may add that it is difficult to judge the random nature of the residuals just from the three samplings at days 0, 1 and 3. Also, it is not clear <em>a priori</em> why a consistent underestimation after the approximate DT90 should be irrelevant. However, this can be rationalised by the fact that the FOCUS fate models generally only implement SFO kinetics.</p>
@@ -430,19 +430,19 @@ plot(m.L2.SFO, show_residuals = TRUE, show_errmin = TRUE,
 <pre class="r"><code>m.L2.FOMC &lt;- mkinfit(&quot;FOMC&quot;, FOCUS_2006_L2_mkin, quiet = TRUE)
 plot(m.L2.FOMC, show_residuals = TRUE,
      main = &quot;FOCUS L2 - FOMC&quot;)</code></pre>
-<p><img 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" 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" /><!-- --></p>
 <pre class="r"><code>summary(m.L2.FOMC, data = FALSE)</code></pre>
-<pre><code>## mkin version:    0.9.45 
-## R version:       3.4.0 
-## Date of fit:     Fri May  5 12:14:04 2017 
-## Date of summary: Fri May  5 12:14:04 2017 
+<pre><code>## mkin version:    0.9.45.2 
+## R version:       3.4.1 
+## Date of fit:     Fri Jul 21 18:02:24 2017 
+## Date of summary: Fri Jul 21 18:02:24 2017 
 ## 
 ## Equations:
 ## d_parent/dt = - (alpha/beta) * 1/((time/beta) + 1) * parent
 ## 
 ## Model predictions using solution type analytical 
 ## 
-## Fitted with method Port using 81 model solutions performed in 0.171 s
+## Fitted with method Port using 81 model solutions performed in 0.246 s
 ## 
 ## Weighting: none
 ## 
@@ -500,12 +500,12 @@ plot(m.L2.FOMC, show_residuals = TRUE,
 <pre class="r"><code>m.L2.DFOP &lt;- mkinfit(&quot;DFOP&quot;, FOCUS_2006_L2_mkin, quiet = TRUE)
 plot(m.L2.DFOP, show_residuals = TRUE, show_errmin = TRUE,
      main = &quot;FOCUS L2 - DFOP&quot;)</code></pre>
-<p><img 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" 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" /><!-- --></p>
 <pre class="r"><code>summary(m.L2.DFOP, data = FALSE)</code></pre>
-<pre><code>## mkin version:    0.9.45 
-## R version:       3.4.0 
-## Date of fit:     Fri May  5 12:14:05 2017 
-## Date of summary: Fri May  5 12:14:05 2017 
+<pre><code>## mkin version:    0.9.45.2 
+## R version:       3.4.1 
+## Date of fit:     Fri Jul 21 18:02:24 2017 
+## Date of summary: Fri Jul 21 18:02:24 2017 
 ## 
 ## Equations:
 ## d_parent/dt = - ((k1 * g * exp(-k1 * time) + k2 * (1 - g) *
@@ -583,7 +583,7 @@ FOCUS_2006_L3_mkin &lt;- mkin_wide_to_long(FOCUS_2006_L3)</code></pre>
 mm.L3 &lt;- mmkin(c(&quot;SFO&quot;, &quot;FOMC&quot;, &quot;DFOP&quot;), cores = 1,
                list(&quot;FOCUS L3&quot; = FOCUS_2006_L3_mkin), quiet = TRUE)
 plot(mm.L3)</code></pre>
-<p><img 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" 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" /><!-- --></p>
 <p>The <span class="math inline"><em>χ</em><sup>2</sup></span> error level of 21% as well as the plot suggest that the SFO model does not fit very well. The FOMC model performs better, with an error level at which the <span class="math inline"><em>χ</em><sup>2</sup></span> test passes of 7%. Fitting the four parameter DFOP model further reduces the <span class="math inline"><em>χ</em><sup>2</sup></span> error level considerably.</p>
 </div>
 <div id="accessing-mmkin-objects" class="section level2">
@@ -591,10 +591,10 @@ plot(mm.L3)</code></pre>
 <p>The objects returned by mmkin are arranged like a matrix, with models as a row index and datasets as a column index.</p>
 <p>We can extract the summary and plot for <em>e.g.</em> the DFOP fit, using square brackets for indexing which will result in the use of the summary and plot functions working on mkinfit objects.</p>
 <pre class="r"><code>summary(mm.L3[[&quot;DFOP&quot;, 1]])</code></pre>
-<pre><code>## mkin version:    0.9.45 
-## R version:       3.4.0 
-## Date of fit:     Fri May  5 12:14:06 2017 
-## Date of summary: Fri May  5 12:14:06 2017 
+<pre><code>## mkin version:    0.9.45.2 
+## R version:       3.4.1 
+## Date of fit:     Fri Jul 21 18:02:25 2017 
+## Date of summary: Fri Jul 21 18:02:25 2017 
 ## 
 ## Equations:
 ## d_parent/dt = - ((k1 * g * exp(-k1 * time) + k2 * (1 - g) *
@@ -603,7 +603,7 @@ plot(mm.L3)</code></pre>
 ## 
 ## Model predictions using solution type analytical 
 ## 
-## Fitted with method Port using 137 model solutions performed in 0.348 s
+## Fitted with method Port using 137 model solutions performed in 0.371 s
 ## 
 ## Weighting: none
 ## 
@@ -670,7 +670,7 @@ plot(mm.L3)</code></pre>
 ##    91   parent     15.0     15.18 -0.18181
 ##   120   parent     12.0     10.19  1.81395</code></pre>
 <pre class="r"><code>plot(mm.L3[[&quot;DFOP&quot;, 1]], show_errmin = TRUE)</code></pre>
-<p><img src="data:image/png;base64,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" 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" /><!-- --></p>
 <p>Here, a look to the model plot, the confidence intervals of the parameters and the correlation matrix suggest that the parameter estimates are reliable, and the DFOP model can be used as the best-fit model based on the <span class="math inline"><em>χ</em><sup>2</sup></span> error level criterion for laboratory data L3.</p>
 <p>This is also an example where the standard t-test for the parameter <code>g_ilr</code> is misleading, as it tests for a significant difference from zero. In this case, zero appears to be the correct value for this parameter, and the confidence interval for the backtransformed parameter <code>g</code> is quite narrow.</p>
 </div>
@@ -688,20 +688,20 @@ mm.L4 &lt;- mmkin(c(&quot;SFO&quot;, &quot;FOMC&quot;), cores = 1,
                list(&quot;FOCUS L4&quot; = FOCUS_2006_L4_mkin),
                quiet = TRUE)
 plot(mm.L4)</code></pre>
-<p><img 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" 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" /><!-- --></p>
 <p>The <span class="math inline"><em>χ</em><sup>2</sup></span> error level of 3.3% as well as the plot suggest that the SFO model fits very well. The error level at which the <span class="math inline"><em>χ</em><sup>2</sup></span> test passes is slightly lower for the FOMC model. However, the difference appears negligible.</p>
 <pre class="r"><code>summary(mm.L4[[&quot;SFO&quot;, 1]], data = FALSE)</code></pre>
-<pre><code>## mkin version:    0.9.45 
-## R version:       3.4.0 
-## Date of fit:     Fri May  5 12:14:06 2017 
-## Date of summary: Fri May  5 12:14:06 2017 
+<pre><code>## mkin version:    0.9.45.2 
+## R version:       3.4.1 
+## Date of fit:     Fri Jul 21 18:02:26 2017 
+## Date of summary: Fri Jul 21 18:02:26 2017 
 ## 
 ## Equations:
 ## d_parent/dt = - k_parent_sink * parent
 ## 
 ## Model predictions using solution type analytical 
 ## 
-## Fitted with method Port using 46 model solutions performed in 0.096 s
+## Fitted with method Port using 46 model solutions performed in 0.098 s
 ## 
 ## Weighting: none
 ## 
@@ -751,17 +751,17 @@ plot(mm.L4)</code></pre>
 ##        DT50 DT90
 ## parent  106  352</code></pre>
 <pre class="r"><code>summary(mm.L4[[&quot;FOMC&quot;, 1]], data = FALSE)</code></pre>
-<pre><code>## mkin version:    0.9.45 
-## R version:       3.4.0 
-## Date of fit:     Fri May  5 12:14:06 2017 
-## Date of summary: Fri May  5 12:14:06 2017 
+<pre><code>## mkin version:    0.9.45.2 
+## R version:       3.4.1 
+## Date of fit:     Fri Jul 21 18:02:26 2017 
+## Date of summary: Fri Jul 21 18:02:26 2017 
 ## 
 ## Equations:
 ## d_parent/dt = - (alpha/beta) * 1/((time/beta) + 1) * parent
 ## 
 ## Model predictions using solution type analytical 
 ## 
-## Fitted with method Port using 66 model solutions performed in 0.138 s
+## Fitted with method Port using 66 model solutions performed in 0.141 s
 ## 
 ## Weighting: none
 ## 
diff --git a/vignettes/FOCUS_Z.pdf b/vignettes/FOCUS_Z.pdf
index f7c67277..9b8f914d 100644
--- a/vignettes/FOCUS_Z.pdf
+++ b/vignettes/FOCUS_Z.pdf
diff --git a/vignettes/compiled_models.Rmd b/vignettes/compiled_models.Rmd
index 956f428a..21b6b0d5 100644
--- a/vignettes/compiled_models.Rmd
+++ b/vignettes/compiled_models.Rmd
@@ -5,6 +5,7 @@ output: rmarkdown::html_vignette
 date: "`r Sys.Date()`"

 vignette: >

   %\VignetteIndexEntry{Performance benefit by using compiled model definitions in mkin}

+  %\VignetteEngine{knitr::rmarkdown}

   %\VignetteEncoding{UTF-8}

 ---

 

diff --git a/vignettes/compiled_models.html b/vignettes/compiled_models.html
index ee3347ca..30f29699 100644
--- a/vignettes/compiled_models.html
+++ b/vignettes/compiled_models.html
@@ -85,6 +85,7 @@ code > span.in { color: #60a0b0; font-weight: bold; font-style: italic; } /* Inf
 <pre><code>## Loading required package: minpack.lm</code></pre>
 <pre><code>## Loading required package: rootSolve</code></pre>
 <pre><code>## Loading required package: inline</code></pre>
+<pre><code>## Loading required package: methods</code></pre>
 <pre><code>## Loading required package: parallel</code></pre>
 <div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">SFO_SFO &lt;-<span class="st"> </span><span class="kw">mkinmod</span>(
   <span class="dt">parent =</span> <span class="kw">mkinsub</span>(<span class="st">&quot;SFO&quot;</span>, <span class="st">&quot;m1&quot;</span>),
@@ -109,14 +110,14 @@ code > span.in { color: #60a0b0; font-weight: bold; font-style: italic; } /* Inf
 }</code></pre></div>
 <pre><code>## Loading required package: rbenchmark</code></pre>
 <pre><code>##                    test replications elapsed relative user.self sys.self
-## 3     deSolve, compiled            3   2.101    1.000     2.100    0.000
-## 1 deSolve, not compiled            3  25.685   12.225    25.600    0.088
-## 2      Eigenvalue based            3   2.729    1.299     2.728    0.000
+## 3     deSolve, compiled            3   2.140    1.000     2.140        0
+## 1 deSolve, not compiled            3  15.070    7.042    15.068        0
+## 2      Eigenvalue based            3   2.577    1.204     2.576        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 12 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 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>
 </div>
 <div id="model-that-can-not-be-solved-with-eigenvalues" class="section level2">
 <h2>Model that can not be solved with Eigenvalues</h2>
@@ -139,12 +140,12 @@ code > span.in { color: #60a0b0; font-weight: bold; font-style: italic; } /* Inf
 }</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   3.590    1.000     3.592    0.000
-## 1 deSolve, not compiled            3  51.219   14.267    51.028    0.192
+## 2     deSolve, compiled            3   3.646    1.000     3.644        0
+## 1 deSolve, not compiled            3  30.752    8.434    30.752        0
 ##   user.child sys.child
 ## 2          0         0
 ## 1          0         0</code></pre>
-<p>Here we get a performance benefit of a factor of 14 using the version of the differential equation model compiled from C code!</p>
+<p>Here we get a performance benefit of a factor of 8 using the version of the differential equation model compiled from C code!</p>
 <p>This vignette was built with mkin 0.9.45.2 on</p>
 <pre><code>## R version 3.4.1 (2017-06-30)
 ## Platform: x86_64-pc-linux-gnu (64-bit)
diff --git a/vignettes/mkin.html b/vignettes/mkin.html
index 9b0a4675..5c9c1a84 100644
--- a/vignettes/mkin.html
+++ b/vignettes/mkin.html
@@ -247,6 +247,7 @@ div.tocify {
 <pre><code>## Loading required package: minpack.lm</code></pre>
 <pre><code>## Loading required package: rootSolve</code></pre>
 <pre><code>## Loading required package: inline</code></pre>
+<pre><code>## Loading required package: methods</code></pre>
 <pre><code>## Loading required package: parallel</code></pre>
 <pre class="r"><code># Define the kinetic model
 m_SFO_SFO_SFO &lt;- mkinmod(parent = mkinsub(&quot;SFO&quot;, &quot;M1&quot;),
@@ -327,7 +328,7 @@ plot_sep(f_SFO_SFO_SFO, lpos = c(&quot;topright&quot;, &quot;bottomright&quot;,
 <p>Bates, D., and D. Watts. 1988. <em>Nonlinear Regression and Its Applications</em>. Wiley-Interscience.</p>
 </div>
 <div id="ref-FOCUS2006">
-<p>FOCUS Work Group on Degradation Kinetics. 2006. <em>Guidance Document on Estimating Persistence and Degradation Kinetics from Environmental Fate Studies on Pesticides in Eu Registration. Report of the Focus Work Group on Degradation Kinetics</em>. <a href="http://focus.jrc.ec.europa.eu/dk" class="uri">http://focus.jrc.ec.europa.eu/dk</a>.</p>
+<p>FOCUS Work Group on Degradation Kinetics. 2006. <em>Guidance Document on Estimating Persistence and Degradation Kinetics from Environmental Fate Studies on Pesticides in Eu Registration. Report of the Focus Work Group on Degradation Kinetics</em>. <a href="http://esdac.jrc.ec.europa.eu/projects/degradation-kinetics" class="uri">http://esdac.jrc.ec.europa.eu/projects/degradation-kinetics</a>.</p>
 </div>
 <div id="ref-FOCUSkinetics2014">
 <p>———. 2014. <em>Generic Guidance for Estimating Persistence and Degradation Kinetics from Environmental Fate Studies on Pesticides in Eu Registration</em>. 1.1 ed. <a href="http://esdac.jrc.ec.europa.eu/projects/degradation-kinetics" class="uri">http://esdac.jrc.ec.europa.eu/projects/degradation-kinetics</a>.</p>
diff --git a/vignettes/references.bib b/vignettes/references.bib
index 118b0cc7..efccb362 100644
--- a/vignettes/references.bib
+++ b/vignettes/references.bib
@@ -16,7 +16,7 @@
   month = {November},
   year = {2011},
   file = {FOCUS kinetics 2011 Generic guidance:/home/ranke/dok/orgs/focus/FOCUSkineticsvc_1_0_Nov23.pdf:PDF},
-  url = {http://focus.jrc.ec.europa.eu/dk}
+  url = {http://esdac.jrc.ec.europa.eu/projects/degradation-kinetics}
 }
 
 @MANUAL{FOCUSkinetics2014,
@@ -37,7 +37,7 @@
   author = {{FOCUS Work Group on Degradation Kinetics}},
   year = {2006},
   note = {EC Document Reference Sanco/10058/2005 version 2.0},
-  url = {http://focus.jrc.ec.europa.eu/dk}
+  url = {http://esdac.jrc.ec.europa.eu/projects/degradation-kinetics}
 }
 
 @MANUAL{rcore2016,
diff --git a/vignettes/twa.Rmd b/vignettes/twa.Rmd
index a37a1c00..22a4d5a3 100644
--- a/vignettes/twa.Rmd
+++ b/vignettes/twa.Rmd
@@ -6,6 +6,7 @@ bibliography: references.bib
 output: rmarkdown::html_vignette
 vignette: >
   %\VignetteIndexEntry{Calculation of time weighted average concentrations with mkin}
+  %\VignetteEngine{knitr::rmarkdown}
   %\VignetteEncoding{UTF-8}
 ---