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<title>mkin/R, 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'/>
<link rel='alternate' type='text/html' href='https://cgit.jrwb.de/mkin/'/>
<updated>2019-06-05T13:16:59Z</updated>
<entry>
<title>Add error model algorithm to output</title>
<updated>2019-06-05T13:16:59Z</updated>
<author>
<name>Johannes Ranke</name>
<email>jranke@uni-bremen.de</email>
</author>
<published>2019-06-05T13:16:59Z</published>
<link rel='alternate' type='text/html' href='https://cgit.jrwb.de/mkin/commit/?id=b6027bbd157734e1c7f8c3ba6373451f5c85fc38'/>
<id>urn:sha1:b6027bbd157734e1c7f8c3ba6373451f5c85fc38</id>
<content type='text'>
</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>For the d_3 algorithm, report which was better, if any</title>
<updated>2019-06-04T17:46:55Z</updated>
<author>
<name>Johannes Ranke</name>
<email>jranke@uni-bremen.de</email>
</author>
<published>2019-06-04T17:46:55Z</published>
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<id>urn:sha1:2bc4adb7080e5893ab423768fe2e24777b292f19</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>
<link rel='alternate' type='text/html' href='https://cgit.jrwb.de/mkin/commit/?id=95178837d3f91e84837628446b5fd468179af2b9'/>
<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>
<link rel='alternate' type='text/html' href='https://cgit.jrwb.de/mkin/commit/?id=9a96391589fef9f80f9c6c4881cc48a509cb75f2'/>
<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>
<link rel='alternate' type='text/html' href='https://cgit.jrwb.de/mkin/commit/?id=db472848915a8065347b8f81477a86928b89fbcf'/>
<id>urn:sha1:db472848915a8065347b8f81477a86928b89fbcf</id>
<content type='text'>
</content>
</entry>
<entry>
<title>Only use colors for error model "obs"</title>
<updated>2019-05-20T12:11:51Z</updated>
<author>
<name>Johannes Ranke</name>
<email>jranke@uni-bremen.de</email>
</author>
<published>2019-05-20T12:11:51Z</published>
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<id>urn:sha1:203364b072697ac154b25569bd9c1a7ba487c9d5</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>
<entry>
<title>Fix hessian calculations</title>
<updated>2019-05-07T06:43:12Z</updated>
<author>
<name>Johannes Ranke</name>
<email>jranke@uni-bremen.de</email>
</author>
<published>2019-05-07T06:43:12Z</published>
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<id>urn:sha1:c322a8102a399cbb1fe38c4c4ca4485cea8bc4e8</id>
<content type='text'>
Static documentation rebuilt by pkgdown
</content>
</entry>
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