Age | Commit message (Collapse) | Author | Files | Lines |
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comparing nlme and saemix. This test shows a reasonable evaluation of
the DMTA data with nlme and saemix, which was missing, as the data used
in the paper are flawed.
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Respect digits argument when printing correlations in summaries
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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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Also adapt summary.nlmixr.mmkin to correctly handle the way
formation fractions are translated to nlmixr
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Works for the dimethenamid data, at least for FOCEI. Very little testing
yet. The summary function does not yet handle the new transformations
of formation fractions (that are in fact very old, as they were used
in the very first version of mkin). The test file has no tests yet, just
some code that may be used for testing.
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- fit_with_errors for saem()
- test_log_parms for mean_degparms() and saem()
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Also after the upgrade from buster to bullseye of my local system, some
test results for saemix have changed.
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Platform dependence also revealed after upgrade to bullseye
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Remove tests relying on non-convergence of the FOMC fit to the FOCUS A
dataset, as this is platform dependent. After the upgrade, the fit
converges on this system as well, although neither ATLAS is used, nor R
was configured disabling long doubles (these were the conditions under
which the tests failed on CRAN).
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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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Address release critical check and test issues
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But could not find one.
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But skip the test as it takes too long to always run
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I can test on R-devel locally for preparing releases
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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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As can be seen in the miniscule change seen on R-devel in the reference
plot updated with this commit
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Also make the endpoints function work for saem objects.
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The reasons for this decision were
- Creating an saemix generic in the saemix package caused problems with
roxygen, because functions like saemix.plot.xy were documented in
their help files as S3 methods, although explicitly exported with
@export
- Creating an saemix generic in this package is possible, but would
make it necessary to load samix with exclude = "saemix" in order to
avoid overwriting the generic when loading saemix.
- The return object of such an saemix generic in this package cannot
be an S3 class with class attribute c("saemix.mmkin", "SaemixObject")
similar to nlme.mmkin, as saemix returns an S4 class.
- Extending the S4 class SaemixObject using simple inheritance to
a class SaemixMmkinObject with additional slots did not work
as expected. When the initialize method was left untouched, it
prevented creation of an SaemixMmkinObject even if it was based
on an initialised SaemixObject, as the initialize method seems
to always be called by new(). This could potentially be circumvented
by a coerce method. If an alternative initialize method was
used, an SaemixMmkinObject could be created. However, the methods
written for SaemixObjects only worked in some instances, either
because they checked for the class, and not for class inheritance
(like compare.saemix), or because the initialize method was called
for some reason. Therefore, the idea of creating a derived S4 class
was abandoned.
- A side effect of this decision is that the introduction of the saem
generic opens the possibility to use the same generic also for other
backends like nlmixr with the SAEM algorithm.
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Also, use logit transformation for g and for solitary formation
fractions, addressing #10.
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