mkin/docs/reference/endpoints.html, branch v0.9.50.3Fitting kinetic models to chemical degradation data (also on github)https://cgit.jrwb.de/mkin/atom?h=v0.9.50.32020-05-12T08:58:25ZImprove documentation, now using a spell checker2020-05-12T08:58:25ZJohannes Rankejranke@uni-bremen.de2020-05-12T08:58:25Zurn:sha1:01284e456dc6df8e064a7a42f194fcd81d9ce7a1Documentation improvements, rebuild static docs2020-05-12T06:36:31ZJohannes Rankejranke@uni-bremen.de2020-05-12T06:07:07Zurn:sha1:9ac853c7ceece333099021974025d07e75be2b33Adapt endpoint() to also work for nlme.mmkin objects2020-04-15T18:42:29ZJohannes Rankejranke@uni-bremen.de2020-04-15T18:42:29Zurn:sha1:d518c4cfa22994db5ba81a6b01c6cb4c4186872eImprove nlme function docs2020-04-10T06:26:44ZJohannes Rankejranke@uni-bremen.de2020-04-10T06:26:44Zurn:sha1:7777ff3b019e54364947ff393e2dab782d7cfe3cCompiled models article, reduce distractions2020-04-03T08:53:07ZJohannes Rankejranke@uni-bremen.de2020-04-02T08:58:34Zurn:sha1:47ba9ea512b82fb8b31da8ec5558f3c0952d86d4
- Added a section with platform specific notes on getting compiled
models to work to the compiled models article
- Don't return empty SFORB parameter list from endpoints() if there is no
SFORB model
- Avoid warnings when using standardized = TRUE in plot.mmkin()
Static documentation rebuilt by pkgdown2019-10-25T00:10:08ZJohannes Rankejranke@uni-bremen.de2019-10-25T00:10:08Zurn:sha1:af2e1540cdad2fd00bb6216a38a754ff748629adCorrect 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
Static documentation rebuilt by pkgdown2019-07-05T13:57:24ZJohannes Rankejranke@uni-bremen.de2019-07-05T13:57:24Zurn:sha1:4596667b19f032232ceb8f3f762aaad5d69c15beAdditional 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