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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
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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
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- 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
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- 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
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git-svn-id: http://kriemhild.uft.uni-bremen.de/svn/chemCal@2 5fad18fb-23f0-0310-ab10-e59a3bee62b4
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git-svn-id: http://kriemhild.uft.uni-bremen.de/svn/chemCal@1 5fad18fb-23f0-0310-ab10-e59a3bee62b4
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