<feed xmlns='http://www.w3.org/2005/Atom'>
<title>mkin/vignettes/web_only/compiled_models.html, branch v0.9.49.11</title>
<subtitle>Fitting kinetic models to chemical degradation data (also on github)</subtitle>
<id>https://cgit.jrwb.de/mkin/atom?h=v0.9.49.11</id>
<link rel='self' href='https://cgit.jrwb.de/mkin/atom?h=v0.9.49.11'/>
<link rel='alternate' type='text/html' href='https://cgit.jrwb.de/mkin/'/>
<updated>2020-04-03T08:53:07Z</updated>
<entry>
<title>Compiled models article, reduce distractions</title>
<updated>2020-04-03T08:53:07Z</updated>
<author>
<name>Johannes Ranke</name>
<email>jranke@uni-bremen.de</email>
</author>
<published>2020-04-02T08:58:34Z</published>
<link rel='alternate' type='text/html' href='https://cgit.jrwb.de/mkin/commit/?id=47ba9ea512b82fb8b31da8ec5558f3c0952d86d4'/>
<id>urn:sha1:47ba9ea512b82fb8b31da8ec5558f3c0952d86d4</id>
<content type='text'>
- Added a section with platform specific notes on getting compiled
models to work to the compiled models article
- Don't return empty SFORB parameter list from endpoints() if there is no
SFORB model
- Avoid warnings when using standardized = TRUE in plot.mmkin()
</content>
</entry>
<entry>
<title>Direct error model fitting works</title>
<updated>2019-04-04T15:21:13Z</updated>
<author>
<name>Johannes Ranke</name>
<email>jranke@uni-bremen.de</email>
</author>
<published>2019-04-04T13:42:23Z</published>
<link rel='alternate' type='text/html' href='https://cgit.jrwb.de/mkin/commit/?id=7a1d3d031aa23fce723ac4f4c8e4bb5d64959447'/>
<id>urn:sha1:7a1d3d031aa23fce723ac4f4c8e4bb5d64959447</id>
<content type='text'>
- No IRLS required
- Removed optimization algorithms other than Port
- Removed the dependency on FME
- Fitting the error model 'obs' is much faster for the FOCUS_2006_D
  dataset and the FOMC_SFO model (1 second versus 3.4 seconds)
- Vignettes build slower. Compiled models needs 3 minutes instead of 1.5
- For other vignettes, the trend is less clear. Some fits are faster,
  even for error_model = "const". FOCUS_Z is faster (34.9 s versus
  44.1 s)
- Standard errors and confidence intervals are slightly smaller
- Removed code for plotting during the fit, as I hardly ever used it
- Merged the two cost functions (using transformed and untransformed
  parameters) into one log-likelihood function
</content>
</entry>
<entry>
<title>Remove two vignettes from the package but not from docs</title>
<updated>2018-09-14T15:00:08Z</updated>
<author>
<name>Johannes Ranke</name>
<email>jranke@uni-bremen.de</email>
</author>
<published>2018-09-14T14:57:17Z</published>
<link rel='alternate' type='text/html' href='https://cgit.jrwb.de/mkin/commit/?id=70d158c4dd919f4f77bc12f8ace333d29d249b79'/>
<id>urn:sha1:70d158c4dd919f4f77bc12f8ace333d29d249b79</id>
<content type='text'>
- Rebuild static documentation
- Adapt test to new approach to two component error model
  where the model is inadequate
</content>
</entry>
</feed>
