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

Age	Commit message (Collapse)	Author	Files	Lines
2007-10-01	Moved everything into the trunk directory, in order to enable branching	ranke	1	-162/+0
	git-svn-id: http://kriemhild.uft.uni-bremen.de/svn/chemCal@22 5fad18fb-23f0-0310-ab10-e59a3bee62b4
2007-03-22	Start of the integration of nonlinear calibration models	ranke	1	-2/+34
	git-svn-id: http://kriemhild.uft.uni-bremen.de/svn/chemCal@19 5fad18fb-23f0-0310-ab10-e59a3bee62b4
2006-06-23	- inverse.predict now has a var.s argument instead of the never	ranke	1	-22/+37
	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	-31/+39
	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	-7/+6
	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
2006-05-11	- The vignette is in a publisheable state	ranke	1	-5/+26
	- 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/+87
	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