Store DLL info in mkinmod objects for performance

Thanks to Tomas Kalibera for his analysis of the problem on the
r-package-devel mailing list and for the suggestion on how to
fix it. See the current benchmark vignette for the new data
on mkin 1.1.1 with R 4.2.1, with unprecedented performance.

1 files changed, 14 insertions, 10 deletions

diff --git a/vignettes/FOCUS_D.html b/vignettes/FOCUS_D.html
index 1b9d2e23..9f768b06 100644
--- a/vignettes/FOCUS_D.html
+++ b/vignettes/FOCUS_D.html
@@ -255,6 +255,7 @@ if (window.hljs) {
 
 
 
+
 <style type="text/css">
 .main-container {
   max-width: 940px;
@@ -276,6 +277,9 @@ button.code-folding-btn:focus {
 summary {
   display: list-item;
 }
+details > summary > p:only-child {
+  display: inline;
+}
 pre code {
   padding: 0;
 }
@@ -360,7 +364,7 @@ pre code {
 
 <h1 class="title toc-ignore">Example evaluation of FOCUS Example Dataset D</h1>
 <h4 class="author">Johannes Ranke</h4>
-<h4 class="date">Last change 31 January 2019 (rebuilt 2022-03-02)</h4>
+<h4 class="date">Last change 31 January 2019 (rebuilt 2022-07-08)</h4>
 
 </div>
 
@@ -435,9 +439,9 @@ print(FOCUS_2006_D)</code></pre>
 <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 used for fitting:    1.1.0 
-## R version used for fitting:       4.1.2 
-## Date of fit:     Wed Mar  2 16:28:06 2022 
-## Date of summary: Wed Mar  2 16:28:07 2022 
+## R version used for fitting:       4.2.1 
+## Date of fit:     Fri Jul  8 15:44:37 2022 
+## Date of summary: Fri Jul  8 15:44:38 2022 
 ## 
 ## Equations:
 ## d_parent/dt = - k_parent * parent
@@ -445,7 +449,7 @@ print(FOCUS_2006_D)</code></pre>
 ## 
 ## Model predictions using solution type analytical 
 ## 
-## Fitted using 401 model solutions performed in 0.149 s
+## Fitted using 401 model solutions performed in 0.13 s
 ## 
 ## Error model: Constant variance 
 ## 
@@ -488,11 +492,11 @@ print(FOCUS_2006_D)</code></pre>
 ## 
 ## Parameter correlation:
 ##                   parent_0 log_k_parent   log_k_m1 f_parent_qlogis      sigma
-## parent_0         1.000e+00    5.174e-01 -1.688e-01      -5.471e-01 -1.172e-06
-## log_k_parent     5.174e-01    1.000e+00 -3.263e-01      -5.426e-01 -8.483e-07
-## log_k_m1        -1.688e-01   -3.263e-01  1.000e+00       7.478e-01  8.205e-07
-## f_parent_qlogis -5.471e-01   -5.426e-01  7.478e-01       1.000e+00  1.305e-06
-## sigma           -1.172e-06   -8.483e-07  8.205e-07       1.305e-06  1.000e+00
+## parent_0         1.000e+00    5.174e-01 -1.688e-01      -5.471e-01 -1.174e-06
+## log_k_parent     5.174e-01    1.000e+00 -3.263e-01      -5.426e-01 -8.492e-07
+## log_k_m1        -1.688e-01   -3.263e-01  1.000e+00       7.478e-01  8.220e-07
+## f_parent_qlogis -5.471e-01   -5.426e-01  7.478e-01       1.000e+00  1.307e-06
+## sigma           -1.174e-06   -8.492e-07  8.220e-07       1.307e-06  1.000e+00
 ## 
 ## Backtransformed parameters:
 ## Confidence intervals for internally transformed parameters are asymmetric.