mkin/docs/pkgdown.yml, branch v0.9.50.1Fitting kinetic models to chemical degradation data (also on github)https://erac.jrwb.de/mkin/atom?h=v0.9.50.12020-05-11T13:20:53ZAdd analytical solution for DFOP-SFO2020-05-11T13:20:53ZJohannes Rankejranke@uni-bremen.de2020-05-11T13:00:25Zurn:sha1:6308e7d7898d4f064d321d97d162c6752c22b362
This is about twice as fast as deSolve compiled in the case of FOCUS D
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.
Another overhaul of analytical solutions2020-05-07T20:14:19ZJohannes Rankejranke@uni-bremen.de2020-05-07T20:13:33Zurn:sha1:92bd33824bde6b6b21bfc7e30953092a74d3cce5
Still in preparation for analytical solutions of coupled models
Merge parent solutions to one file2020-05-07T07:13:20ZJohannes Rankejranke@uni-bremen.de2020-05-07T07:10:33Zurn:sha1:67c8163487e776e9a378c9dfcd39c74f6e6bc507
- Combine R/*.solution.R into R/parent_solutions.R
- Create a roxygen family of related functions
- Reduce redundancy by using the inherit tag
- Change the parent.0 argument to parent_0 to match
the corresponding parameter name used in mkinfit
Static documentation rebuilt by pkgdown2020-05-07T06:59:29ZJohannes Rankejranke@uni-bremen.de2020-05-07T06:59:29Zurn:sha1:8bdb4cd437a9d4663e542f95869e8692aa38dadbAdd url: tag to _pkgdown.yml2019-09-18T16:01:23ZJohannes Rankejranke@uni-bremen.de2019-09-18T16:01:23Zurn:sha1:b2c75fa1f73167d3e3c9c7db1d561dd482090aab
Static documentation rebuilt by pkgdown
Correct and rebuild docs2019-09-18T11:03:50ZJohannes Rankejranke@uni-bremen.de2019-09-18T11:03:50Zurn:sha1:e05656d57668688b971c28e32b4cfd4d3eac4662
- Reconcile docs and code for max_twa_parent
- Correct links to docs in twa vignette
- Static documentation rebuilt by pkgdown
Additional algorithm "d_c", more tests, docs2019-06-04T13:09:28ZJohannes Rankejranke@uni-bremen.de2019-06-04T13:09:28Zurn:sha1:95178837d3f91e84837628446b5fd468179af2b9
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.
Adapt tests, vignettes and examples2019-04-10T08:17:35ZJohannes Rankejranke@uni-bremen.de2019-04-10T08:17:35Zurn:sha1:194659fcaccdd1ee37851725b8c72e99daa3a8cf
- Write the NEWS
- Static documentation rebuilt by pkgdown
- Adapt mkinerrmin
- Fix (hopefully all) remaining problems in mkinfit
NAFTA SOP Attachment vignette2019-02-26T19:33:32ZJohannes Rankejranke@uni-bremen.de2019-02-26T19:28:15Zurn:sha1:396e40d2c45d81a8e74c41a2f632665021e980a1
Also:
- Change rounding in print.nafta
- Add dots argument to nafta()
- Use cores=1 in examples
- Restrict N in IORE model to values > 0