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<title>mkin/tests, branch v0.9.50.3</title>
<subtitle>Fitting kinetic models to chemical degradation data (also on github)</subtitle>
<id>https://cgit.jrwb.de/mkin/atom?h=v0.9.50.3</id>
<link rel='self' href='https://cgit.jrwb.de/mkin/atom?h=v0.9.50.3'/>
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<updated>2020-10-08T07:31:35Z</updated>
<entry>
<title>Fix issues for release</title>
<updated>2020-10-08T07:31:35Z</updated>
<author>
<name>Johannes Ranke</name>
<email>jranke@uni-bremen.de</email>
</author>
<published>2020-10-08T07:31:35Z</published>
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<id>urn:sha1:bc3825ae2d12c18ea3d3caf17eb23c93fef180b8</id>
<content type='text'>
</content>
</entry>
<entry>
<title>mkinfit: Ignore unused components of state.ini</title>
<updated>2020-07-17T14:27:46Z</updated>
<author>
<name>Johannes Ranke</name>
<email>jranke@uni-bremen.de</email>
</author>
<published>2020-07-17T14:27:46Z</published>
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<id>urn:sha1:a7e209b553e2e99ffc9aa2b003f9b73b9ac4b985</id>
<content type='text'>
</content>
</entry>
<entry>
<title>Improve tests</title>
<updated>2020-07-15T12:16:29Z</updated>
<author>
<name>Johannes Ranke</name>
<email>jranke@uni-bremen.de</email>
</author>
<published>2020-07-15T12:11:25Z</published>
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<id>urn:sha1:39b0b93b5d15a3a0e9126f29c753e2fef75dc701</id>
<content type='text'>
- Reduce significant digits for the objective function output in
mkinfit(..., quiet = FALSE) as R and R-devel gave different output on my
system
- Add makefile target 'devtest' for testing with R-devel, in order
to fix problems showing up with R-devel on Travis
</content>
</entry>
<entry>
<title>Improve handling of (partially) failing fits</title>
<updated>2020-07-15T10:30:39Z</updated>
<author>
<name>Johannes Ranke</name>
<email>jranke@uni-bremen.de</email>
</author>
<published>2020-07-15T10:30:39Z</published>
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<id>urn:sha1:9f8e1eb33b586beb7e889212bdababa081b6ff67</id>
<content type='text'>
</content>
</entry>
<entry>
<title>Test plots on r-devel only</title>
<updated>2020-06-15T08:27:19Z</updated>
<author>
<name>Johannes Ranke</name>
<email>jranke@uni-bremen.de</email>
</author>
<published>2020-06-15T08:27:19Z</published>
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<id>urn:sha1:8363b1c179c4e83d97c3c0c4cfa365f92c7832af</id>
<content type='text'>
following the arguments of Xavier Robin https://github.com/r-lib/vdiffr/issues/86#issuecomment-636447231
</content>
</entry>
<entry>
<title>Fix a bug, update for current vdiffr</title>
<updated>2020-06-15T07:05:27Z</updated>
<author>
<name>Johannes Ranke</name>
<email>jranke@uni-bremen.de</email>
</author>
<published>2020-06-15T07:05:27Z</published>
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<id>urn:sha1:068b168d78c9550a77514e0c39923f8d40b48b03</id>
<content type='text'>
Vignette FOCUS_L failed as I had introduced a bug in the handling of
warnings.

Current vdiffr only runs visual tests if R &lt; 4.1.0, skipping r-devel for now,
see https://github.com/r-lib/vdiffr/commit/630a29d013361fd63fea242f531e2db6aef37919
</content>
</entry>
<entry>
<title>Improve handling of warnings, reorganize tests</title>
<updated>2020-05-29T14:05:11Z</updated>
<author>
<name>Johannes Ranke</name>
<email>jranke@uni-bremen.de</email>
</author>
<published>2020-05-29T14:05:11Z</published>
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<id>urn:sha1:e6f9e9ca89e35e610d9895b979f1351a47451db0</id>
<content type='text'>
</content>
</entry>
<entry>
<title>Warn if standardized residuals are unlikely normal</title>
<updated>2020-05-29T13:03:04Z</updated>
<author>
<name>Johannes Ranke</name>
<email>jranke@uni-bremen.de</email>
</author>
<published>2020-05-29T13:03:04Z</published>
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<id>urn:sha1:510436646b1bdd5b8cfab70be29334bd3cc9c828</id>
<content type='text'>
This revealed a bug in the data returned in mkinfit$data in the case
of the d_3 algorithm, which also affected the residual plot - the
data from the direct fitting was not returned even if this was
the better method.
</content>
</entry>
<entry>
<title>use_of_ff = "max" for shorthand models like "SFO"</title>
<updated>2020-05-28T10:24:32Z</updated>
<author>
<name>Johannes Ranke</name>
<email>jranke@uni-bremen.de</email>
</author>
<published>2020-05-28T10:24:32Z</published>
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<id>urn:sha1:609bfe2fd7ecbdcad5f5d641f0db51541dcd6a4e</id>
<content type='text'>
</content>
</entry>
<entry>
<title>Use all cores per default, confint tolerance</title>
<updated>2020-05-26T16:52:01Z</updated>
<author>
<name>Johannes Ranke</name>
<email>jranke@uni-bremen.de</email>
</author>
<published>2020-05-26T16:38:51Z</published>
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<id>urn:sha1:675a733fa2acc08daabb9b8b571c7d658f281f73</id>
<content type='text'>
Also, use more intelligent starting values for the variance of the
random effects for saemix. While this does not appear to speed up
the convergence, it shows where this variance is greatly reduced
by using mixed-effects models as opposed to the separate independent
fits.
</content>
</entry>
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