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This even a bit faster.
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The vignette illustrates pH dependent degradation (covariate modelling)
with some detail for the parent compound.
Also, a bug in the saem method of the illparms function was fixed, which
prevented to find ill-defined parameters in cases where e.g. slopes of
covariate models have a negative estimate.
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Update platform dependent test plots
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Thanks to Sebastian Meyer for spotting it.
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Save winbuilder/CRAN check time...
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For the case of mkin transformations. This gives faster convergence,
and appears to avoid problems with numeric ODE solutions
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Also, add a method for gathering convergence information
and a method for gathering information on ill-defined parameters
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Thanks to Tomas Kalibera for his analysis of the problem on the
r-package-devel mailing list and for the suggestion on how to
fix it. See the current benchmark vignette for the new data
on mkin 1.1.1 with R 4.2.1, with unprecedented performance.
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Documentation and test results were updated, the latter with regard
to the previous work on plot.mixed.mmkin.
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I am postponing my attempts to get the nlmixr interface to CRAN, given
some problems with nlmixr using R-devel under Windows, see
https://github.com/nlmixrdevelopment/nlmixr/issues/596
and
https://github.com/r-hub/rhub/issues/512,
which is fixed by the removal of nlmixr from the testsuite.
For the tests to be more platform independent, the biphasic mixed
effects models test dataset was defined in a way that fitting
should be more robust (less ill-defined).
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After the merge, run make test and accept the new snapshot for the mixed
model fit for an nlme object
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