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<title>mkin/docs/reference/nlme.html, branch v1.0.0</title>
<subtitle>Fitting kinetic models to chemical degradation data (also on github)</subtitle>
<id>https://cgit.jrwb.de/mkin/atom?h=v1.0.0</id>
<link rel='self' href='https://cgit.jrwb.de/mkin/atom?h=v1.0.0'/>
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<updated>2021-02-03T17:18:19Z</updated>
<entry>
<title>Prepare for v1.0.0</title>
<updated>2021-02-03T17:18:19Z</updated>
<author>
<name>Johannes Ranke</name>
<email>jranke@uni-bremen.de</email>
</author>
<published>2021-02-03T15:41:31Z</published>
<link rel='alternate' type='text/html' href='https://cgit.jrwb.de/mkin/commit/?id=f0ef23a7598e5d19648ae4edc2b74e0fba27a41c'/>
<id>urn:sha1:f0ef23a7598e5d19648ae4edc2b74e0fba27a41c</id>
<content type='text'>
- Improve authorship and copyright information
- Prepare pkgdown config
- Remove dependence on saemix as we need the development version which
is not ready for CRAN
- Temporarily remove saemix interface to check code coverage of the rest
</content>
</entry>
<entry>
<title>Update online docs for release version</title>
<updated>2020-10-15T10:53:23Z</updated>
<author>
<name>Johannes Ranke</name>
<email>jranke@uni-bremen.de</email>
</author>
<published>2020-10-15T10:53:23Z</published>
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<id>urn:sha1:5b1179f0daff9077e1370065f9b9f03a2d0e0450</id>
<content type='text'>
</content>
</entry>
<entry>
<title>Add docs generated using released version 0.9.52</title>
<updated>2020-05-27T05:12:51Z</updated>
<author>
<name>Johannes Ranke</name>
<email>jranke@uni-bremen.de</email>
</author>
<published>2020-05-27T05:12:51Z</published>
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<id>urn:sha1:b5ee48a86e4b1d4c05aaadb80b44954e2e994ebc</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>
<entry>
<title>Test markdown link, article update due to .rmd extension</title>
<updated>2020-05-14T15:10:59Z</updated>
<author>
<name>Johannes Ranke</name>
<email>jranke@uni-bremen.de</email>
</author>
<published>2020-05-14T15:10:59Z</published>
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<id>urn:sha1:b6e278759127dab5bb78bc3016926a66e8a9758f</id>
<content type='text'>
</content>
</entry>
<entry>
<title>Update vignettes and docs</title>
<updated>2020-05-12T14:34:00Z</updated>
<author>
<name>Johannes Ranke</name>
<email>jranke@uni-bremen.de</email>
</author>
<published>2020-05-12T14:34:00Z</published>
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<id>urn:sha1:6211f3ef4995657798686d8d4ab43ed9406e8a08</id>
<content type='text'>
</content>
</entry>
<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>Another overhaul of analytical solutions</title>
<updated>2020-05-07T20:14:19Z</updated>
<author>
<name>Johannes Ranke</name>
<email>jranke@uni-bremen.de</email>
</author>
<published>2020-05-07T20:13:33Z</published>
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<id>urn:sha1:92bd33824bde6b6b21bfc7e30953092a74d3cce5</id>
<content type='text'>
Still in preparation for analytical solutions of coupled models
</content>
</entry>
<entry>
<title>Include random effects in starting parameters</title>
<updated>2020-04-15T17:00:06Z</updated>
<author>
<name>Johannes Ranke</name>
<email>jranke@uni-bremen.de</email>
</author>
<published>2020-04-15T16:13:04Z</published>
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<id>urn:sha1:42171ba55222383a0d47e5aacd46a972819e7812</id>
<content type='text'>
- mean_degparms() now optionally returns starting values for fixed and
  random effects, which makes it possible to obtain acceptable fits
  also in more difficult cases (with more parameters)
- Fix the anova method, as it is currently not enough to inherit from
  lme: https://bugs.r-project.org/bugzilla/show_bug.cgi?id=17761
- Show fit information, and per default also errmin information
  in plot.nlme.mmkin()
- Examples for nlme.mmkin: Decrease tolerance and increase the number of
  iterations in the PNLS step in order to be able to fit FOMC-SFO and
  DFOP-SFO
</content>
</entry>
<entry>
<title>A plot method for nlme.mmkin fits</title>
<updated>2020-04-14T23:51:55Z</updated>
<author>
<name>Johannes Ranke</name>
<email>jranke@uni-bremen.de</email>
</author>
<published>2020-04-14T23:27:02Z</published>
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<id>urn:sha1:082be7baa35d7e8131a70ca8cc061d90e08fa584</id>
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</content>
</entry>
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