From 328d1173db2395c1a5705b5f0980e2956db8be1f Mon Sep 17 00:00:00 2001
From: Johannes Ranke <johannes.ranke@jrwb.de>
Date: Thu, 13 Feb 2025 12:43:29 +0100
Subject: Update wordlist, bump date and simplify DESCRIPTION

Also, the R-Universe URL that the badge points to is updated
---
 docs/index.html | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

(limited to 'docs/index.html')

diff --git a/docs/index.html b/docs/index.html
index 915a3243..8c1a7c59 100644
--- a/docs/index.html
+++ b/docs/index.html
@@ -9,8 +9,8 @@
 <script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <link href="deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet">
 <script src="deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="Kinetic Evaluation of Chemical Degradation Data">
-<meta name="description" content="Calculation routines based on the FOCUS Kinetics Report (2006, 2014). Includes a function for conveniently defining differential equation models, model solution based on eigenvalues if possible or using numerical solvers. If a C compiler (on windows: Rtools) is installed, differential equation models are solved using automatically generated C functions. Heteroscedasticity can be taken into account using variance by variable or two-component error models as described by Ranke and Meinecke (2018) &lt;doi:10.3390/environments6120124&gt;. Hierarchical degradation models can be fitted using nonlinear mixed-effects model packages as a back end as described by Ranke et al. (2021) &lt;doi:10.3390/environments8080071&gt;. Please note that no warranty is implied for correctness of results or fitness for a particular purpose.">
-<meta property="og:description" content="Calculation routines based on the FOCUS Kinetics Report (2006, 2014). Includes a function for conveniently defining differential equation models, model solution based on eigenvalues if possible or using numerical solvers. If a C compiler (on windows: Rtools) is installed, differential equation models are solved using automatically generated C functions. Heteroscedasticity can be taken into account using variance by variable or two-component error models as described by Ranke and Meinecke (2018) &lt;doi:10.3390/environments6120124&gt;. Hierarchical degradation models can be fitted using nonlinear mixed-effects model packages as a back end as described by Ranke et al. (2021) &lt;doi:10.3390/environments8080071&gt;. Please note that no warranty is implied for correctness of results or fitness for a particular purpose.">
+<meta name="description" content="Calculation routines based on the FOCUS Kinetics Report (2006, 2014). Includes a function for conveniently defining differential equation models, model solution based on eigenvalues if possible or using numerical solvers. If a C compiler (on windows: Rtools) is installed, differential equation models are solved using automatically generated C functions. Inhomogeneous errors can be taken into account using variance by variable or two-component error models &lt;doi:10.3390/environments6120124&gt;. Hierarchical degradation models can be fitted using nonlinear mixed-effects model packages as a back end &lt;doi:10.3390/environments8080071&gt;. Please note that no warranty is implied for correctness of results or fitness for a particular purpose.">
+<meta property="og:description" content="Calculation routines based on the FOCUS Kinetics Report (2006, 2014). Includes a function for conveniently defining differential equation models, model solution based on eigenvalues if possible or using numerical solvers. If a C compiler (on windows: Rtools) is installed, differential equation models are solved using automatically generated C functions. Inhomogeneous errors can be taken into account using variance by variable or two-component error models &lt;doi:10.3390/environments6120124&gt;. Hierarchical degradation models can be fitted using nonlinear mixed-effects model packages as a back end &lt;doi:10.3390/environments8080071&gt;. Please note that no warranty is implied for correctness of results or fitness for a particular purpose.">
 </head>
 <body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
@@ -256,7 +256,7 @@ Von Götz N, Nörtersheuser P, Richter O (1999) Population based analysis of pes
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.1.</p>
 </div>
 
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