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authorJohannes Ranke <jranke@uni-bremen.de>2021-06-09 16:53:31 +0200
committerJohannes Ranke <jranke@uni-bremen.de>2021-06-09 17:00:41 +0200
commitc6eb6b2bb598002523c3d34d71b0e4a99671ccd6 (patch)
tree7c13470ea01fca6c1cec3749b66a84a17154ec82 /NEWS.md
parent9907f17aa98bddfe60e82a71c70a2fea914a02f7 (diff)
Rudimentary support for setting up nlmixr models
- All degradation models are specified as ODE models. This appears to be fast enough - Error models are being translated to nlmixr as close to the mkin error model as possible. When using the 'saem' backend, it appears not to be possible to use the same error model for more than one observed variable - No support yet for models with parallel formation of metabolites, where the ilr transformation is used in mkin per default - There is a bug in nlmixr which appears to be triggered if the data are not balanced, see nlmixrdevelopment/nlmixr#530 - There is a print and a plot method, the summary method is not finished
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-# mkin 1.0.4.9000
-
-## General
-
-- Switch to a versioning scheme where the fourth version component indicates development versions
+# mkin 1.0.5
## Mixed-effects models
-- Reintroduce the interface to the current development version of saemix, in particular:
-
-- 'saemix_model' and 'saemix_data': Helper functions to set up nonlinear mixed-effects models for mmkin row objects
+- Introduce an interface to nlmixr, supporting estimation methods 'saem' and 'focei': S3 method 'nlmixr.mmkin' using the helper functions 'nlmixr_model' and 'nlmixr_data' to set up nlmixr models for mmkin row objects, with summary and plot methods.
-- 'saem': generic function to fit saemix models using 'saemix_model' and 'saemix_data', with a generator 'saem.mmkin', summary and plot methods
+- Reintroduce the interface to current development versions (not on CRAN) of saemix, in particular the generic function 'saem' with a generator 'saem.mmkin', currently using 'saemix_model' and 'saemix_data', summary and plot methods
-- 'mean_degparms': New argument 'test_log_parms' that makes the function only consider log-transformed parameters where the untransformed parameters pass the t-test for a certain confidence level. This can be used to obtain more plausible starting parameters for 'saem'
+- 'mean_degparms': New argument 'test_log_parms' that makes the function only consider log-transformed parameters where the untransformed parameters pass the t-test for a certain confidence level. This can be used to obtain more plausible starting parameters for the different mixed-effects model backends
- 'plot.mixed.mmkin': Gains arguments 'test_log_parms' and 'conf.level'

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