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author | Johannes Ranke <johannes.ranke@jrwb.de> | 2025-02-13 14:45:54 +0100 |
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committer | Johannes Ranke <johannes.ranke@jrwb.de> | 2025-02-13 14:45:54 +0100 |
commit | 480c5cf42e07a7a62cf1afdb47c44ee2d04f120f (patch) | |
tree | 85fb5d25b17cc54ab8127f169f906dfc7e93748a /DESCRIPTION | |
parent | 5c54f39802ec2898cd36916ae09e7873a9e95239 (diff) | |
parent | 051aebaebd40f3958fa22fb712401d0fe8e9a025 (diff) |
Merge branch 'devel'
Diffstat (limited to 'DESCRIPTION')
-rw-r--r-- | DESCRIPTION | 13 |
1 files changed, 6 insertions, 7 deletions
diff --git a/DESCRIPTION b/DESCRIPTION index 91c749c4..dcaf8f48 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -2,7 +2,7 @@ Package: mkin Type: Package Title: Kinetic Evaluation of Chemical Degradation Data Version: 1.2.9 -Date: 2024-12-19 +Date: 2025-02-13 Authors@R: c( person("Johannes", "Ranke", role = c("aut", "cre", "cph"), email = "johannes.ranke@jrwb.de", @@ -15,14 +15,13 @@ Description: Calculation routines based on the FOCUS Kinetics Report (2006, models, model solution based on eigenvalues if possible or using numerical solvers. If a C compiler (on windows: 'Rtools') is installed, differential equation models are solved using automatically generated C functions. - Heteroscedasticity can be taken into account using variance by variable or - two-component error models as described by Ranke and Meinecke (2018) - <doi:10.3390/environments6120124>. Hierarchical degradation models can - be fitted using nonlinear mixed-effects model packages as a back end as - described by Ranke et al. (2021) <doi:10.3390/environments8080071>. Please + Non-constant errors can be taken into account using variance by variable or + two-component error models <doi:10.3390/environments6120124>. Hierarchical + degradation models can be fitted using nonlinear mixed-effects model packages + as a back end <doi:10.3390/environments8080071>. Please note that no warranty is implied for correctness of results or fitness for a particular purpose. -Depends: R (>= 2.15.1), +Depends: R (>= 4.1.0) Imports: stats, graphics, methods, parallel, deSolve (>= 1.35), R6, inline (>= 0.3.19), numDeriv, lmtest, pkgbuild, nlme (>= 3.1-151), saemix (>= 3.2), rlang, vctrs Suggests: knitr, rbenchmark, tikzDevice, testthat, rmarkdown, covr, vdiffr, |