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2022-05-18Remove outdated comment in FOCUS L vignette, update docsJohannes Ranke6-0/+0
This also adds the first benchmark results obtained on my laptop system
2022-03-02Make tests more platform independent, update docsJohannes Ranke16-0/+0
2021-03-31Bug fix in plot.mkinfitJohannes Ranke17-0/+12
In residual plots, use xlab and xlim if appropriate
2021-02-15Improve README, introductory vignette and some other docsv1.0.3Johannes Ranke18-0/+27
Also bump version to 1.0.3.
2021-02-03Prepare for v1.0.0v1.0.0Johannes Ranke16-0/+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 Ranke16-0/+0
2020-05-12Update vignettes and docsJohannes Ranke1-0/+0
2019-07-09Adaptations for gmkinJohannes Ranke5-0/+0
Address winbuilder check problems, update check log, update of static docs
2019-07-05Static documentation rebuilt by pkgdownJohannes Ranke5-0/+0
2019-06-04Additional algorithm "d_c", more tests, docsJohannes Ranke16-0/+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 Ranke2-0/+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 Ranke16-0/+0
- Also make it possible to specify initial values for error model parameters. - Run tests - Rebuild docs
2019-04-10Adapt tests, vignettes and examplesJohannes Ranke5-0/+0
- Write the NEWS - Static documentation rebuilt by pkgdown - Adapt mkinerrmin - Fix (hopefully all) remaining problems in mkinfit
2019-02-26NAFTA SOP Attachment vignetteJohannes Ranke16-0/+0
Also: - Change rounding in print.nafta - Add dots argument to nafta() - Use cores=1 in examples - Restrict N in IORE model to values > 0

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