mkin - Fitting kinetic models to chemical degradation data (also on github)

Age	Commit message (Collapse)	Author	Files	Lines
2022-11-18	Make mixed model test data permanent to ensure reproducibility	Johannes Ranke	1	-0/+105
	To ensure that tests on different platforms work on the same data, the mixed modelling test data previosly generated in tests/testthat/setup_script.R were generated once using the script in inst/dataset/generation/ds_mixed.R, and are now distributed with the package.
2021-09-15	Correction of the dimethenamid dataset	Johannes Ranke	1	-16/+8
	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
2020-12-19	Dimethenamid data, normalisation options	Johannes Ranke	2	-1/+156

2020-11-13	Fixes for f_time_norm_focus, still very fragile...	Johannes Ranke	1	-6/+8

2020-11-12	Use preprocessed data for 2,4-D, update docs	Johannes Ranke	1	-27/+27

2020-11-12	mkindsg class to hold groups of datasets	Johannes Ranke	2	-0/+82
	- 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()