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The data given in previous mkin versions for "Borstel 2" (Staudenmaier
2013) are in fact a subset of the "Borstel 1" data, with the "Borstel 2"
data simply being further analysed for isomer composition by
Staudenmaier (2013).
While correcting this, the URL of the RAR published by EFSA was
updated, as the EFSA Register of Questions was replaced by the
Open EFSA portal.
This also affects the recent publication in "Environments" [1], where
these two datasets were pooled. However, the influence on the final
results can be expected to be minimal. Out of the 16 observations for
the Borstel soil, five were erroneously duplicated which just changes
the weight of the different sampling points and modifies the variance.
The conclusions of the publication are qualitative and are not
considered to be affected.
[1] https://doi.org/10.3390/environments8080071
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- D24_2014 dataset on aerobic soil degradation of 2,4-D from the EU
assessment as mkindsg object with metadata
- f_time_norm_focus() to do time-step normalisation using the FOCUS
method
- focus_soil_moisture data with default moisture contents at pF1,
pF 2 and pF 2.5 for USDA soil types from FOCUS GW guidance
- Dataset generation scripts in inst/dataset_generation
- Depend on R >= 2.15.1 in order to facilitate the use of
utils::globalVariables()
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The new algorithm tries direct optimization of the likelihood, as well
as a three step procedure. In this way, we consistently get the
model with the highest likelihood for SFO, DFOP and HS for all 12
new test datasets.
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Also:
- Change rounding in print.nafta
- Add dots argument to nafta()
- Use cores=1 in examples
- Restrict N in IORE model to values > 0
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Static documentation except articles rebuilt by pkgdown
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- Typo in synthetic data for UBA
- Static documentation except articles rebuilt by pkgdown
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The new tests are based on the results documented in the expertise
I wrote for the UBA (currently unpublished).
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- Change the format of the workspace files of gmkin so they can be
distributed in the mkin package
- Add gmkin workspace datasets FOCUS_2006_gmkin and FOCUS_2006_Z_gmkin
- Restrict the unit test with the Schaefer data to parent and primary
metabolites as formation fraction and DT50 for A2 are higly correlated
and passing the test is platform dependent. For example, the test
fails in 1 out of 14 platforms on CRAN as of today
- Add Eurofins Regulatory AG copyright notices
- Import FME and deSolve instead of depending on them to have cleaner
startup
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- Used these data in unit tests for parent only models
- Fixed SFORB data and calculation of formation fractions along the way
- Reintroduced the test for the Schaefer 2007 data
- Got rid of the mkinmod unit tests - they are too hard to maintain and the mkinfit
tests test the model definitions as well
git-svn-id: svn+ssh://svn.r-forge.r-project.org/svnroot/kinfit/pkg/mkin@32 edb9625f-4e0d-4859-8d74-9fd3b1da38cb
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- Fix the DT50 calculation for the SFORB model
- Added a bit more of a description
git-svn-id: svn+ssh://svn.r-forge.r-project.org/svnroot/kinfit/pkg/mkin@11 edb9625f-4e0d-4859-8d74-9fd3b1da38cb
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test dataset from the original KinGUI Piacenza paper.
git-svn-id: svn+ssh://svn.r-forge.r-project.org/svnroot/kinfit/pkg/mkin@10 edb9625f-4e0d-4859-8d74-9fd3b1da38cb
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Some functionality is still missing (chi2), some may never be implemented
(FOMC model), but in general it is much more powerful than kinfit, owing
to the powerful FME package.
git-svn-id: svn+ssh://svn.r-forge.r-project.org/svnroot/kinfit/pkg/mkin@8 edb9625f-4e0d-4859-8d74-9fd3b1da38cb
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