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The new tests are based on the results documented in the expertise
I wrote for the UBA (currently unpublished).
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While this was OK on my local windows machine, the test failed on
winbuilder
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Testing the package on winbuilder shows that the Port algorithm
does not converge on Windows with this combination, which is
not a problem as the FOMC model is not appropriate for the dataset
anyways.
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See NEWS.md for details
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- Add a .Rbuildignore file
- Clean up unit tests a bit
- Test the gwidgets notebook from the knitr demo
git-svn-id: svn+ssh://svn.r-forge.r-project.org/svnroot/kinfit/pkg/mkin@150 edb9625f-4e0d-4859-8d74-9fd3b1da38cb
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git-svn-id: svn+ssh://svn.r-forge.r-project.org/svnroot/kinfit/pkg/mkin@17 edb9625f-4e0d-4859-8d74-9fd3b1da38cb
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Some functionality is still missing (chi2), some may never be implemented
(FOMC model), but in general it is much more powerful than kinfit, owing
to the powerful FME package.
git-svn-id: svn+ssh://svn.r-forge.r-project.org/svnroot/kinfit/pkg/mkin@8 edb9625f-4e0d-4859-8d74-9fd3b1da38cb
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