mkin/vignettes/FOCUS_D.html, branch v1.0.5Fitting kinetic models to chemical degradation data (also on github)https://cgit.jrwb.de/mkin/atom?h=v1.0.52021-07-23T13:43:02ZRerun tests, use current vdiffr on travis2021-07-23T13:43:02ZJohannes Rankejranke@uni-bremen.de2021-07-23T13:43:02Zurn:sha1:297285ac86a74c1ceb517aac9eca46d07513c45dBug fix in plot.mkinfit2021-03-31T17:42:17ZJohannes Rankejranke@uni-bremen.de2021-03-31T17:42:17Zurn:sha1:3a5463672c297b37c3c9135c8b144c48744c05d0
In residual plots, use xlab and xlim if appropriate
Improve README, introductory vignette and some other docs2021-02-15T14:20:53ZJohannes Rankejranke@uni-bremen.de2021-02-15T13:08:13Zurn:sha1:a9427a09abdf7ce9aaeae7c7190f90c8f2e5ef52
Also bump version to 1.0.3.
Depend on parallel, doc improvements2020-11-19T14:41:24ZJohannes Rankejranke@uni-bremen.de2020-11-19T14:41:24Zurn:sha1:db9ae6a0c9cecb92048fde6f06af1da183c09b5f
By depending on parallel instead of importing it, functions to set up
and stop a cluster are always available when mkin is loaded.
The use of multicore processing in mmkin on Windows is now documented in
the help file, which brings mkin closer to a version 1.0 #9.
Reintroduce saemix helper functions2020-10-15T08:25:48ZJohannes Rankejranke@uni-bremen.de2020-10-15T08:25:48Zurn:sha1:954f7514144a281b73e9b47ac88a6b13e8799f31Fix issues for release2020-10-08T07:31:35ZJohannes Rankejranke@uni-bremen.de2020-10-08T07:31:35Zurn:sha1:bc3825ae2d12c18ea3d3caf17eb23c93fef180b8Use all cores per default, confint tolerance2020-05-26T16:52:01ZJohannes Rankejranke@uni-bremen.de2020-05-26T16:38:51Zurn:sha1:675a733fa2acc08daabb9b8b571c7d658f281f73
Also, use more intelligent starting values for the variance of the
random effects for saemix. While this does not appear to speed up
the convergence, it shows where this variance is greatly reduced
by using mixed-effects models as opposed to the separate independent
fits.
Avoid merge() and data.frame() in cost function2020-05-11T03:18:32ZJohannes Rankejranke@uni-bremen.de2020-05-11T03:15:19Zurn:sha1:234c9059a95e104917e488a6ddd2313234a96cdc
also for deSolve and eigenvalue based solutions. This noticeably increases
performance for these methods, see test.log and benchmark vignette.
Change implementation of analytical solutions2020-05-06T19:33:12ZJohannes Rankejranke@uni-bremen.de2020-05-06T19:33:12Zurn:sha1:1195dfc8bdbf7c131d6c6ec30fedbbe746af1bee
Preparing for symbolic solutions for more than one compound
Remove reference to archived kinfit package2019-05-02T16:54:22ZJohannes Rankejranke@uni-bremen.de2019-05-02T16:54:22Zurn:sha1:6ddb7575f37d9d534f014cbd105b2f07660d59c6
from vignettes/mkin.Rmd
Static documentation rebuilt by pkgdown