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<title>mkin/tests, branch v0.9.49.5</title>
<subtitle>Fitting kinetic models to chemical degradation data (also on github)</subtitle>
<id>https://cgit.jrwb.de/mkin/atom?h=v0.9.49.5</id>
<link rel='self' href='https://cgit.jrwb.de/mkin/atom?h=v0.9.49.5'/>
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<updated>2019-07-04T06:10:33Z</updated>
<entry>
<title>Address failures of CRAN checks, improve NEWS</title>
<updated>2019-07-04T06:10:33Z</updated>
<author>
<name>Johannes Ranke</name>
<email>jranke@uni-bremen.de</email>
</author>
<published>2019-07-04T06:10:33Z</published>
<link rel='alternate' type='text/html' href='https://cgit.jrwb.de/mkin/commit/?id=7e8d788d298b8e1492fd8f62d88456e99e0f5992'/>
<id>urn:sha1:7e8d788d298b8e1492fd8f62d88456e99e0f5992</id>
<content type='text'>
Static documentation rebuilt by pkgdown
</content>
</entry>
<entry>
<title>Skip a test on CRAN/winbuilder</title>
<updated>2019-07-03T15:40:27Z</updated>
<author>
<name>Johannes Ranke</name>
<email>jranke@uni-bremen.de</email>
</author>
<published>2019-07-03T15:40:27Z</published>
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<id>urn:sha1:d004cfb133b2b38808a736916152b85c5df6568f</id>
<content type='text'>
The test uses multiple cores in order to complete within a reasonable time
</content>
</entry>
<entry>
<title>Add check and test logs</title>
<updated>2019-07-03T15:04:11Z</updated>
<author>
<name>Johannes Ranke</name>
<email>jranke@uni-bremen.de</email>
</author>
<published>2019-07-03T15:04:11Z</published>
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<id>urn:sha1:2fb8a479b9075681ab69063127f4e58a1f9b2052</id>
<content type='text'>
</content>
</entry>
<entry>
<title>Adapt tests to new algorithms and output</title>
<updated>2019-06-05T13:45:31Z</updated>
<author>
<name>Johannes Ranke</name>
<email>jranke@uni-bremen.de</email>
</author>
<published>2019-06-05T13:45:31Z</published>
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<id>urn:sha1:4b323789265213bd65165873e7efe5e45a579275</id>
<content type='text'>
One of the tests exceeded the number of iterations when using the
d_3 error model algorithm, so only use "direct" in this case.
</content>
</entry>
<entry>
<title>Fix a bug introduced in the last commit</title>
<updated>2019-06-04T19:10:58Z</updated>
<author>
<name>Johannes Ranke</name>
<email>jranke@uni-bremen.de</email>
</author>
<published>2019-06-04T19:10:58Z</published>
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<id>urn:sha1:307a317666b8a1cdfe2293371ad8671403680a36</id>
<content type='text'>
</content>
</entry>
<entry>
<title>Additional algorithm "d_c", more tests, docs</title>
<updated>2019-06-04T13:09:28Z</updated>
<author>
<name>Johannes Ranke</name>
<email>jranke@uni-bremen.de</email>
</author>
<published>2019-06-04T13:09:28Z</published>
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<id>urn:sha1:95178837d3f91e84837628446b5fd468179af2b9</id>
<content type='text'>
The new algorithm tries direct optimization of the likelihood, as well
as a three step procedure. In this way, we consistently get the
model with the highest likelihood for SFO, DFOP and HS for all 12
new test datasets.
</content>
</entry>
<entry>
<title>Algorithms direct, two-, three-, fourstep, IRLS</title>
<updated>2019-06-04T09:18:56Z</updated>
<author>
<name>Johannes Ranke</name>
<email>jranke@uni-bremen.de</email>
</author>
<published>2019-06-04T09:15:52Z</published>
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<id>urn:sha1:9a96391589fef9f80f9c6c4881cc48a509cb75f2</id>
<content type='text'>
All of them are working now and allow for comparison
Based on SFO, DFOP and HS fits to twelve test datasets, only
the combination of direct and threestep is needed to find
the lowest AIC
</content>
</entry>
<entry>
<title>Status von Samstag morgen - untested</title>
<updated>2019-06-03T05:56:44Z</updated>
<author>
<name>Johannes Ranke</name>
<email>jranke@uni-bremen.de</email>
</author>
<published>2019-06-03T05:56:44Z</published>
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<id>urn:sha1:b6ea4f22fc1b6d1caea29f6b1e44774d14d6697c</id>
<content type='text'>
</content>
</entry>
<entry>
<title>Fix a bug that could lead to wrong chi2 error levels</title>
<updated>2019-05-23T17:19:27Z</updated>
<author>
<name>Johannes Ranke</name>
<email>jranke@uni-bremen.de</email>
</author>
<published>2019-05-23T17:19:27Z</published>
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<id>urn:sha1:db472848915a8065347b8f81477a86928b89fbcf</id>
<content type='text'>
</content>
</entry>
<entry>
<title>Add functionality to plot the error model</title>
<updated>2019-05-08T18:57:48Z</updated>
<author>
<name>Johannes Ranke</name>
<email>jranke@uni-bremen.de</email>
</author>
<published>2019-05-08T18:57:48Z</published>
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<id>urn:sha1:c6079a807e2b400fe0c772603392aeacd887da2f</id>
<content type='text'>
by plotting squared residuals against predicted values, and
showing the variance function used in the fitted error model.

Rebuild docs
</content>
</entry>
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