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path: root/vignettes/mkin_benchmarks.rda
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2019-06-05Add error model algorithm to outputJohannes Ranke1-0/+0
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.
2019-05-08Add functionality to plot the error modelJohannes Ranke1-0/+0
by plotting squared residuals against predicted values, and showing the variance function used in the fitted error model. Rebuild docs
2019-05-07Fix hessian calculationsJohannes Ranke1-0/+0
Static documentation rebuilt by pkgdown
2019-05-07After the OLS step, use OLS parameter estimatesJohannes Ranke1-0/+0
- Fix the respective error in the code - Static documentation rebuilt by pkgdown
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
2019-05-02Remove reference to archived kinfit packageJohannes Ranke1-0/+0
from vignettes/mkin.Rmd Static documentation rebuilt by pkgdown
2019-05-02Prepare for CRAN releaseJohannes Ranke1-0/+0
- Skip long running tests on CRAN as well to avoid timeout on winbuilder - Don't install benchmark results in the package, they are only needed in the git repository - Don't run example in man/add_err.Rd as it takes > 10 s on winbuilder - Rebuild docs

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