mkin/vignettes/web_only, branch v0.9.50.3Fitting kinetic models to chemical degradation data (also on github)https://cgit.jrwb.de/mkin/atom?h=v0.9.50.32020-10-08T07:31:35ZFix issues for release2020-10-08T07:31:35ZJohannes Rankejranke@uni-bremen.de2020-10-08T07:31:35Zurn:sha1:bc3825ae2d12c18ea3d3caf17eb23c93fef180b8Change dev version label to info color2020-05-27T05:57:10ZJohannes Rankejranke@uni-bremen.de2020-05-27T05:57:10Zurn:sha1:f26d5082604402de3604e494e30fe5a2f030aca3
instead of the orange danger color.
Create up to date pkgdown docs in development mode2020-05-27T04:06:08ZJohannes Rankejranke@uni-bremen.de2020-05-27T04:06:08Zurn:sha1:a77a10ea6c607346778ba0700b3b66ac393101a2Test markdown link, article update due to .rmd extension2020-05-14T15:10:59ZJohannes Rankejranke@uni-bremen.de2020-05-14T15:10:59Zurn:sha1:b6e278759127dab5bb78bc3016926a66e8a9758fFurther formatting improvement of benchmark vignette2020-05-13T14:20:23ZJohannes Rankejranke@uni-bremen.de2020-05-13T14:20:23Zurn:sha1:218a9c55bd80fb708b15fa7196422f759bfe4b27
Also, use .rmd extension instead of .Rmd for vignettes.
Update pkgdown2020-05-12T15:51:58ZJohannes Rankejranke@uni-bremen.de2020-05-12T15:51:58Zurn:sha1:20f235860c3d5a9c6319c516637021e02ecb6caeImprove formatting of benchmark vignette2020-05-12T15:48:07ZJohannes Rankejranke@uni-bremen.de2020-05-12T15:48:07Zurn:sha1:4eada5fff40493fad77726531e22dd6ad693a662Update vignettes and docs2020-05-12T14:34:00ZJohannes Rankejranke@uni-bremen.de2020-05-12T14:34:00Zurn:sha1:6211f3ef4995657798686d8d4ab43ed9406e8a08Avoid 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.
Default to analytical for coupled models if available2020-05-10T19:53:00ZJohannes Rankejranke@uni-bremen.de2020-05-10T19:53:00Zurn:sha1:d113cd79b178fdc91aecb894707ed356129dfb75
This revealed that transforming rates is necessary for fitting
the analytical solution of the SFO-SFO model to the FOCUS D dataset.
Benchmarks show that fitting coupled models with deSolve got a bit
slower through the latest changes