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<title>mkin/man/mkinerrplot.Rd, branch v1.0.3</title>
<subtitle>Fitting kinetic models to chemical degradation data (also on github)</subtitle>
<id>https://erac.jrwb.de/mkin/atom?h=v1.0.3</id>
<link rel='self' href='https://erac.jrwb.de/mkin/atom?h=v1.0.3'/>
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<updated>2020-05-12T06:36:31Z</updated>
<entry>
<title>Documentation improvements, rebuild static docs</title>
<updated>2020-05-12T06:36:31Z</updated>
<author>
<name>Johannes Ranke</name>
<email>jranke@uni-bremen.de</email>
</author>
<published>2020-05-12T06:07:07Z</published>
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<id>urn:sha1:9ac853c7ceece333099021974025d07e75be2b33</id>
<content type='text'>
</content>
</entry>
<entry>
<title>First nlme fits for models with a metabolite</title>
<updated>2020-03-30T12:03:51Z</updated>
<author>
<name>Johannes Ranke</name>
<email>jranke@uni-bremen.de</email>
</author>
<published>2020-03-30T12:03:51Z</published>
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<id>urn:sha1:405cde11f9f26fcab0742e84c110cf3dcb2a4c1f</id>
<content type='text'>
</content>
</entry>
<entry>
<title>Use roxygen for functions and methods</title>
<updated>2019-10-25T00:03:54Z</updated>
<author>
<name>Johannes Ranke</name>
<email>jranke@uni-bremen.de</email>
</author>
<published>2019-10-24T22:37:42Z</published>
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<id>urn:sha1:0a3eb0893cb4bd1b12f07a79069d1c7f5e991495</id>
<content type='text'>
</content>
</entry>
<entry>
<title>Some changes to improve plots on beamer slides</title>
<updated>2019-09-02T14:14:50Z</updated>
<author>
<name>Johannes Ranke</name>
<email>jranke@uni-bremen.de</email>
</author>
<published>2019-09-02T14:14:50Z</published>
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<id>urn:sha1:ee99cf40fdf6d986a909010d18063ad032f69899</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>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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