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2023-04-20Fix and rebuild documentation, see NEWSJohannes Ranke1-0/+0
I had to fix the two pathway vignettes, as they did not work with the released version any more. So they and the multistart vignette which got some small fixes as well were rebuilt. Complete rebuild of the online docs with the released version. The documentation of the 'hierarchial_kinetics' format had to be fixed as well.
2022-11-17Complete update of online docs for v1.2.0Johannes Ranke1-0/+0
2022-05-18Remove outdated comment in FOCUS L vignette, update docsJohannes Ranke1-0/+0
This also adds the first benchmark results obtained on my laptop system
2022-03-02Make tests more platform independent, update docsJohannes Ranke1-0/+0
2021-03-31Bug fix in plot.mkinfitJohannes Ranke1-0/+0
In residual plots, use xlab and xlim if appropriate
2021-02-15Improve README, introductory vignette and some other docsv1.0.3Johannes Ranke1-0/+0
Also bump version to 1.0.3.
2021-02-03Prepare for v1.0.0v1.0.0Johannes Ranke1-0/+0
- 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
2020-10-15Update online docs for release versionJohannes Ranke1-0/+0
2020-04-15Include random effects in starting parametersJohannes Ranke1-0/+0
- 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
2019-06-04Additional algorithm "d_c", more tests, docsJohannes Ranke1-0/+0
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.
2019-05-03Improve error model fittingJohannes Ranke1-0/+0
Now we have a three stage fitting process for nonconstant error models: - Unweighted least squares - Only optimize the error model - Optimize both Static documentation rebuilt by pkgdown
2019-05-02Better initials for error model parametersJohannes Ranke1-0/+0
- Also make it possible to specify initial values for error model parameters. - Run tests - Rebuild docs
2019-04-10Adapt tests, vignettes and examplesJohannes Ranke1-0/+0
- Write the NEWS - Static documentation rebuilt by pkgdown - Adapt mkinerrmin - Fix (hopefully all) remaining problems in mkinfit
2018-06-06Static documentation rebuilt by pkgdown 1.1.0Johannes Ranke1-0/+0
2018-03-09Another rebuild of the static docsJohannes Ranke1-0/+0
Now with rbenchmark installed, to get results for the compiled_models vignette
2018-03-01Static documentation rebuilt using current pkgdown::build_site()Johannes Ranke1-0/+0

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