chemCal - Calibration functions for analytical chemistry (also on github)

Age	Commit message (Collapse)	Author	Files	Lines
2006-06-23	Added the data from Massart example 1, and one more	ranke	1	-3/+3
	tests showing the validity of inverse.predict. git-svn-id: http://kriemhild.uft.uni-bremen.de/svn/chemCal@18 5fad18fb-23f0-0310-ab10-e59a3bee62b4
2006-06-23	- inverse.predict now has a var.s argument instead of the never	ranke	1	-6/+6
	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
2006-05-23	First version published on my website.	ranke	1	-11/+15
	git-svn-id: http://kriemhild.uft.uni-bremen.de/svn/chemCal@14 5fad18fb-23f0-0310-ab10-e59a3bee62b4
2006-05-23	Don't do calplot and lod for linear models from weighted	ranke	1	-1/+3
	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 prediction	ranke	1	-1/+1
	- 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 state	ranke	1	-2/+3
	- 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
2006-05-10	The inverse prediction works in a variety of cases and is	ranke	1	-0/+55
	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