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diff --git a/vignettes/references.bib b/vignettes/references.bib
index 44c66f13..a18922c9 100644
--- a/vignettes/references.bib
+++ b/vignettes/references.bib
@@ -51,9 +51,9 @@
}
@MANUAL{pkg:mkin,
- title = {`mkin`: {K}inetic evaluation of chemical degradation data},
+ title = {`{mkin}`: {K}inetic evaluation of chemical degradation data},
author = {J. Ranke},
- year = {2016},
+ year = {2019},
url = {https://CRAN.R-project.org/package=mkin}
}
@@ -102,3 +102,31 @@
institution = {Umweltbundesamt},
volume = {Projektnummer 27452}
}
+
+@Article{ranke2018,
+ author="Ranke, Johannes
+ and W{\"o}ltjen, Janina
+ and Meinecke, Stefan",
+ title="Comparison of software tools for kinetic evaluation of chemical degradation data",
+ journal="Environmental Sciences Europe",
+ year="2018",
+ month="May",
+ day="18",
+ volume="30",
+ number="1",
+ pages="17",
+ abstract="For evaluating the fate of xenobiotics in the environment, a variety of degradation or environmental metabolism experiments are routinely conducted. The data generated in such experiments are evaluated by optimizing the parameters of kinetic models in a way that the model simulation fits the data. No comparison of the main software tools currently in use has been published to date. This article shows a comparison of numerical results as well as an overall, somewhat subjective comparison based on a scoring system using a set of criteria. The scoring was separately performed for two types of uses. Uses of type I are routine evaluations involving standard kinetic models and up to three metabolites in a single compartment. Evaluations involving non-standard model components, more than three metabolites or more than a single compartment belong to use type II. For use type I, usability is most important, while the flexibility of the model definition is most important for use type II.",
+ issn="2190-4715",
+ doi="10.1186/s12302-018-0145-1",
+ url="https://doi.org/10.1186/s12302-018-0145-1"
+}
+
+@Article{gao11,
+ Title = {Improving uncertainty analysis in kinetic evaluations using iteratively reweighted least squares},
+ Author = {Gao, Z. and Green, J.W. and Vanderborght, J. and Schmitt, W.},
+ Journal = {Environmental Science and Technology},
+ Year = {2011},
+ Pages = {4429-4437},
+ Volume = {45},
+ Type = {Journal}
+}

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