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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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In residual plots, use xlab and xlim if appropriate
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plot.mixed.mmkin did not reset graphical parameters at all. The other
plotting functions did not use on.exit, so this change should make the
use of the plotting functions safer.
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Also bump version to 1.0.3.
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mkinfit: Keep model names stored in mkinmod objects, avoiding their loss in gmkin
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The errors in the example code were in the \dontrun sections, so they
were not caught by CRAN checks. In addition, the static help files
generated with pkgdown were cached, so I noticed the errors only
after completely regenerating the documentation for version 1.0.0.
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- Improve authorship and copyright information
- Prepare pkgdown config
- Remove dependence on saemix as we need the development version which
is not ready for CRAN
- Temporarily remove saemix interface to check code coverage of the rest
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See NEWS.md. Closes #12
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This makes fitting with saem within parallel::mclapply much faster
and, surprisingly, much less hungry for RAM.
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Address release critical check and test issues
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Also fix incompatibility with saem fits from earlier mkin versions
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I threw out mclapply as it did not play well with the linear algebra
routines used in the saemix code. Most of the change is actually
indentation in the code creating the model function. But there
is an important fix in mkinpredict which I had broken.
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Namely for SFO, DFOP, SFO-SFO and DFOP-SFO
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The default is pdDiag again, as we often have a small number of datasets
in degradation kinetics.
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Depends on inline >= 0.16.2 (including the bug fixes from
eddelbuettel/inline#18), which provides 'moveDLL' to store the DLL for a
compiled function in a safe place in case the argument 'dll_dir' is
specified in the call to 'mkinmod'.
Huge thanks to Dirk @eddelbuettel for his review and support
for the work on the inline package.
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With automatic reloading in mkinfit and mkinpredict in case the
DLL is not loaded and the original DLL path has been cleaned up.
Depends on jranke/inline@974bdea04fcedfafaab231e6f359c88270b56cb9
See inline#13
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By depending on parallel instead of importing it, functions to set up
and stop a cluster are always available when mkin is loaded.
The use of multicore processing in mmkin on Windows is now documented in
the help file, which brings mkin closer to a version 1.0 #9.
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Fix the display of warnings and errors in print.mmkin, the matrix was
erroneously transposed.
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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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