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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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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
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a demo producing the first four columns from Table 8.5
and the weighted regression.
git-svn-id: http://kriemhild.uft.uni-bremen.de/svn/chemCal@5 5fad18fb-23f0-0310-ab10-e59a3bee62b4
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git-svn-id: http://kriemhild.uft.uni-bremen.de/svn/chemCal@4 5fad18fb-23f0-0310-ab10-e59a3bee62b4
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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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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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