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<title>mkin/tests/testthat, branch v1.2.6</title>
<subtitle>Fitting kinetic models to chemical degradation data (also on github)</subtitle>
<id>https://erac.jrwb.de/mkin/atom?h=v1.2.6</id>
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<updated>2023-08-17T07:23:27Z</updated>
<entry>
<title>Update tests without any openblas variant</title>
<updated>2023-08-17T07:23:27Z</updated>
<author>
<name>Johannes Ranke</name>
<email>jranke@uni-bremen.de</email>
</author>
<published>2023-08-17T07:23:27Z</published>
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<id>urn:sha1:bbed90f6a4010ac0b911ec13c04ae06eebc74bb5</id>
<content type='text'>
This even a bit faster.
</content>
</entry>
<entry>
<title>Update platform specific tests on desktop</title>
<updated>2023-08-17T07:03:53Z</updated>
<author>
<name>Johannes Ranke</name>
<email>jranke@uni-bremen.de</email>
</author>
<published>2023-08-17T07:03:53Z</published>
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<id>urn:sha1:9901675e499226eec6304113eb5ffa3b900942c2</id>
<content type='text'>
</content>
</entry>
<entry>
<title>Point to the dmta pathway vignette in the dmta test</title>
<updated>2023-08-17T06:53:15Z</updated>
<author>
<name>Johannes Ranke</name>
<email>jranke@uni-bremen.de</email>
</author>
<published>2023-08-17T06:53:15Z</published>
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<id>urn:sha1:448e47e756c0c67fc658f93575092973aa455fb1</id>
<content type='text'>
</content>
</entry>
<entry>
<title>Mesotrione data and vignette</title>
<updated>2023-08-04T11:27:41Z</updated>
<author>
<name>Johannes Ranke</name>
<email>jranke@uni-bremen.de</email>
</author>
<published>2023-08-04T11:27:41Z</published>
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<id>urn:sha1:804a5cb47fcdc823d41c585729ace151b283ca65</id>
<content type='text'>
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.
</content>
</entry>
<entry>
<title>Skip another test on CRAN to save CPU cycles</title>
<updated>2023-04-16T12:33:14Z</updated>
<author>
<name>Johannes Ranke</name>
<email>jranke@uni-bremen.de</email>
</author>
<published>2023-04-16T12:33:14Z</published>
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<content type='text'>
</content>
</entry>
<entry>
<title>Skip the Eigenvalue based saem test</title>
<updated>2023-04-16T04:22:11Z</updated>
<author>
<name>Johannes Ranke</name>
<email>jranke@uni-bremen.de</email>
</author>
<published>2023-04-16T04:19:00Z</published>
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<id>urn:sha1:76bc0fead33a63168a5e8d77a6c4b82426815d70</id>
<content type='text'>
It took too long, and this solution method is not recommended. We are
saving 140 seconds here on my system, so more time is saved on travis.
</content>
</entry>
<entry>
<title>Increase test coverage</title>
<updated>2023-04-15T18:00:00Z</updated>
<author>
<name>Johannes Ranke</name>
<email>jranke@uni-bremen.de</email>
</author>
<published>2023-04-15T18:00:00Z</published>
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<id>urn:sha1:f215080efba4097ccdaa2d1208edd36c26d7978a</id>
<content type='text'>
Also, using mkin analytical solutions for more than one observed
variable is not supported (but could be if out_values would be
reordered).
</content>
</entry>
<entry>
<title>Fix logic in test</title>
<updated>2023-04-15T14:12:52Z</updated>
<author>
<name>Johannes Ranke</name>
<email>jranke@uni-bremen.de</email>
</author>
<published>2023-04-15T14:12:52Z</published>
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<id>urn:sha1:c1e5f339ff1abccbe4a284cdc9fba3debcb2c586</id>
<content type='text'>
</content>
</entry>
<entry>
<title>Fix platform dependence in test</title>
<updated>2023-04-15T13:40:05Z</updated>
<author>
<name>Johannes Ranke</name>
<email>jranke@uni-bremen.de</email>
</author>
<published>2023-04-15T13:40:05Z</published>
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<id>urn:sha1:a71d7a0817f213699e06128c6d1729dc6a7ef76f</id>
<content type='text'>
</content>
</entry>
<entry>
<title>Make predefined symbols safer</title>
<updated>2023-04-15T13:35:06Z</updated>
<author>
<name>Johannes Ranke</name>
<email>jranke@uni-bremen.de</email>
</author>
<published>2023-04-15T13:35:06Z</published>
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<id>urn:sha1:b0b710ee9f9bb9bbe9708676d0c5822465e02203</id>
<content type='text'>
We still need to create a parallel processing cluster _after_ creating a
compiled model that is moved to a user defined location, at least I did
not find another way to make it work. This is not a problem with
parallel processing without a cluster, which is not available on
Windows.
</content>
</entry>
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