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2006-06-23- inverse.predict now has a var.s argument instead of the neverranke1-18/+17
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 weightedranke1-1/+1
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
2006-05-16- Took loq and lod apart again. lod is now an implemantation of Massart, loq isranke1-9/+13
an own variant of DIN 32645 (relative error on x axis). - Partly make functions work on models where x and y are named different from "x" and "y" (loq to be done). git-svn-id: http://kriemhild.uft.uni-bremen.de/svn/chemCal@11 5fad18fb-23f0-0310-ab10-e59a3bee62b4
2006-05-15A trial to improve the lod function, I don't really understandranke1-1/+2
the predict.lm function unfortunately git-svn-id: http://kriemhild.uft.uni-bremen.de/svn/chemCal@10 5fad18fb-23f0-0310-ab10-e59a3bee62b4
2006-05-12- Fixed the inverse predictionranke1-17/+20
- 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 stateranke1-21/+22
- 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
2006-05-10The inverse prediction works in a variety of cases and isranke1-23/+72
tested with Examples 7 and 8 from Massart! I need to compare with the DIN and draper examples, and finish the package vignette. git-svn-id: http://kriemhild.uft.uni-bremen.de/svn/chemCal@6 5fad18fb-23f0-0310-ab10-e59a3bee62b4
2006-05-09Started a new approach, namely just adding a inverse.predictranke1-0/+40
method for univariate lm models. This will be based on Massart, p. 200. git-svn-id: http://kriemhild.uft.uni-bremen.de/svn/chemCal@3 5fad18fb-23f0-0310-ab10-e59a3bee62b4

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