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diff --git a/vignettes/mkin.html b/vignettes/mkin.html index 58d49112..8a1a7641 100644 --- a/vignettes/mkin.html +++ b/vignettes/mkin.html @@ -1591,12 +1591,12 @@ div.tocify { <h1 class="title toc-ignore">Introduction to mkin</h1> <h4 class="author">Johannes Ranke</h4> -<h4 class="date">Last change 15 February 2021 (rebuilt 2021-09-16)</h4> +<h4 class="date">Last change 15 February 2021 (rebuilt 2022-02-08)</h4> </div> -<p><a href="https://www.jrwb.de">Wissenschaftlicher Berater, Kronacher Str. 12, 79639 Grenzach-Wyhlen, Germany</a><br /> <a href="http://chem.uft.uni-bremen.de/ranke/">Privatdozent at the University of Bremen</a></p> +<p><a href="https://www.jrwb.de">Wissenschaftlicher Berater, Kronacher Str. 12, 79639 Grenzach-Wyhlen, Germany</a><br /> Privatdozent at the University of Freiburg</p> <div id="abstract" class="section level1"> <h1>Abstract</h1> <p>In the regulatory evaluation of chemical substances like plant protection products (pesticides), biocides and other chemicals, degradation data play an important role. For the evaluation of pesticide degradation experiments, detailed guidance has been developed, based on nonlinear optimisation. The <code>R</code> add-on package <code>mkin</code> implements fitting some of the models recommended in this guidance from within R and calculates some statistical measures for data series within one or more compartments, for parent and metabolites.</p> @@ -1713,7 +1713,7 @@ plot_sep(f_SFO_SFO_SFO, lpos = c("topright", "bottomright", <p>Schäfer, D., B. Mikolasch, P. Rainbird, and B. Harvey. 2007. “KinGUI: A New Kinetic Software Tool for Evaluations According to FOCUS Degradation Kinetics.” In <em>Proceedings of the Xiii Symposium Pesticide Chemistry</em>, edited by Del Re A. A. M., Capri E., Fragoulis G., and Trevisan M., 916–23. Piacenza.</p> </div> <div id="ref-soetaert2010"> -<p>Soetaert, Karline, and Thomas Petzoldt. 2010. “Inverse Modelling, Sensitivity and Monte Carlo Analysis in R Using Package FME.” <em>Journal of Statistical Software</em> 33 (3): 1–28. <a href="https://www.jstatsoft.org/v33/i03/">https://www.jstatsoft.org/v33/i03/</a>.</p> +<p>Soetaert, Karline, and Thomas Petzoldt. 2010. “Inverse Modelling, Sensitivity and Monte Carlo Analysis in R Using Package FME.” <em>Journal of Statistical Software</em> 33 (3): 1–28. <a href="https://doi.org/10.18637/jss.v033.i03">https://doi.org/10.18637/jss.v033.i03</a>.</p> </div> </div> </div> |