mkin - Fitting kinetic models to chemical degradation data (also on github)

Age	Commit message (Collapse)	Author	Files	Lines
2019-06-05	Add error model algorithm to output	Johannes Ranke	1	-0/+0

2019-06-04	Additional algorithm "d_c", more tests, docs	Johannes Ranke	1	-0/+0
	The new algorithm tries direct optimization of the likelihood, as well as a three step procedure. In this way, we consistently get the model with the highest likelihood for SFO, DFOP and HS for all 12 new test datasets.
2019-05-08	Add functionality to plot the error model	Johannes Ranke	1	-0/+0
	by plotting squared residuals against predicted values, and showing the variance function used in the fitted error model. Rebuild docs
2019-05-07	Fix hessian calculations	Johannes Ranke	1	-0/+0
	Static documentation rebuilt by pkgdown
2019-05-07	After the OLS step, use OLS parameter estimates	Johannes Ranke	1	-0/+0
	- Fix the respective error in the code - Static documentation rebuilt by pkgdown
2019-05-03	Improve error model fitting	Johannes Ranke	1	-0/+0
	Now we have a three stage fitting process for nonconstant error models: - Unweighted least squares - Only optimize the error model - Optimize both Static documentation rebuilt by pkgdown
2019-05-02	Remove reference to archived kinfit package	Johannes Ranke	1	-0/+0
	from vignettes/mkin.Rmd Static documentation rebuilt by pkgdown
2019-05-02	Prepare for CRAN release	Johannes Ranke	1	-0/+0
	- Skip long running tests on CRAN as well to avoid timeout on winbuilder - Don't install benchmark results in the package, they are only needed in the git repository - Don't run example in man/add_err.Rd as it takes > 10 s on winbuilder - Rebuild docs