From 9a8dfa8bd52664929fd4197f3e9c4e65b62cad53 Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Thu, 17 Nov 2016 23:42:01 +0100 Subject: Canonicalize remaining CRAN URLs --- README.html | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) (limited to 'README.html') diff --git a/README.html b/README.html index 7afc8e5a..1b83b915 100644 --- a/README.html +++ b/README.html @@ -163,15 +163,15 @@ $(document).ready(function () {

News

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Yes, there is a ChangeLog, for the latest CRAN release and one for the github master branch.

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Yes, there is a ChangeLog, for the latest CRAN release and one for the github master branch.

Credits and historical remarks

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mkin would not be possible without the underlying software stack consisting of R and the packages deSolve and FME, to say the least.

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mkin would not be possible without the underlying software stack consisting of R and the packages deSolve and FME, to say the least.

It could not have been written without me being introduced to regulatory fate modelling of pesticides by Adrian Gurney during my time at Harlan Laboratories Ltd (formerly RCC Ltd). mkin greatly profits from and largely follows the work done by the FOCUS Degradation Kinetics Workgroup, as detailed in their guidance document from 2006, slightly updated in 2011 and in 2014.

Also, it was inspired by the first version of KinGUI developed by BayerCropScience, which is based on the MatLab runtime environment.

The companion package kinfit (now deprecated) was started in 2008 and first published on CRAN on 01 May 2010.

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The first mkin code was published on 11 May 2010 and the first CRAN version on 18 May 2010.

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The first mkin code was published on 11 May 2010 and the first CRAN version on 18 May 2010.

In 2011, Bayer Crop Science started to distribute an R based successor to KinGUI named KinGUII whose R code is based on mkin, but which added, amongst other refinements, a closed source graphical user interface (GUI), iteratively reweighted least squares (IRLS) optimisation of the variance for each of the observed variables, and Markov Chain Monte Carlo (MCMC) simulation functionality, similar to what is available e.g. in the FME package.

Somewhat in parallel, Syngenta has sponsored the development of an mkin and KinGUII based GUI application called CAKE, which also adds IRLS and MCMC, is more limited in the model formulation, but puts more weight on usability. CAKE is available for download from the CAKE website, where you can also find a zip archive of the R scripts derived from mkin, published under the GPL license.

Finally, there is KineticEval, which contains a further development of the scripts used for KinGUII, so the different tools will hopefully be able to learn from each other in the future as well.

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