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2018-07-17Fix inverse predictions for replicate measurementsJohannes Ranke1-7/+6
For details, see NEWS.md
2015-10-07Maintenance changes for the release of version 0.1-36Johannes Ranke1-2/+2
2015-08-22Get rid of the branched svn layout I never usedranke1-0/+61
git-svn-id: http://kriemhild.uft.uni-bremen.de/svn/chemCal@36 5fad18fb-23f0-0310-ab10-e59a3bee62b4
2007-10-01Moved everything into the trunk directory, in order to enable branchingranke1-61/+0
git-svn-id: http://kriemhild.uft.uni-bremen.de/svn/chemCal@22 5fad18fb-23f0-0310-ab10-e59a3bee62b4
2006-06-23- inverse.predict now has a var.s argument instead of the neverranke1-20/+25
tested ss argument. This is documented in the updated vignette - loq() now has w.loq and var.loq arguments, and stops with a message if neither are specified and the model has weights. - calplot doesn't stop any more for weighted regression models, but only refrains from drawing prediction bands - Added method = "din" to lod(), now that I actually have it (DIN 32645) and was able to see which approximation is used therein. - removed the demos, as the examples and tests are already partially duplicated - The vignette is more of a collection of various notes, but should certainly be helpful for the user. - Version bump to 0.1-xxx git-svn-id: http://kriemhild.uft.uni-bremen.de/svn/chemCal@16 5fad18fb-23f0-0310-ab10-e59a3bee62b4
2006-05-23Don't do calplot and lod for linear models from weightedranke1-9/+28
regression any more, since this is not supported (PR#8877). git-svn-id: http://kriemhild.uft.uni-bremen.de/svn/chemCal@13 5fad18fb-23f0-0310-ab10-e59a3bee62b4
2006-05-12- Fixed the inverse predictionranke1-1/+11
- Now I have a working approach for the calculation of LOD and LOQ, but it seems to be different from what everybody else is doing (e.g. Massart chaper 13). I like it, however. Maybe it even yields a paper. git-svn-id: http://kriemhild.uft.uni-bremen.de/svn/chemCal@8 5fad18fb-23f0-0310-ab10-e59a3bee62b4
2006-05-11- The vignette is in a publisheable stateranke1-2/+14
- In addition to the Massart examples, the sample data from dintest (DIN 32645) has been tested - inverse.predict and calplot now also work on glm objects git-svn-id: http://kriemhild.uft.uni-bremen.de/svn/chemCal@7 5fad18fb-23f0-0310-ab10-e59a3bee62b4
2005-02-15Cleaned up version, only containing very basic stuff.ranke1-1/+1
git-svn-id: http://kriemhild.uft.uni-bremen.de/svn/chemCal@2 5fad18fb-23f0-0310-ab10-e59a3bee62b4
2005-02-15First import, for archiving purposes.ranke1-0/+15
git-svn-id: http://kriemhild.uft.uni-bremen.de/svn/chemCal@1 5fad18fb-23f0-0310-ab10-e59a3bee62b4

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