mkin/docs/reference/NAFTA_SOP_Attachment.html, branch v1.0.0Fitting kinetic models to chemical degradation data (also on github)https://cgit.jrwb.de/mkin/atom?h=v1.0.02021-02-03T17:18:19ZPrepare for v1.0.02021-02-03T17:18:19ZJohannes Rankejranke@uni-bremen.de2021-02-03T15:41:31Zurn:sha1:f0ef23a7598e5d19648ae4edc2b74e0fba27a41c
- Improve authorship and copyright information
- Prepare pkgdown config
- Remove dependence on saemix as we need the development version which
is not ready for CRAN
- Temporarily remove saemix interface to check code coverage of the rest
Add docs generated using released version 0.9.522020-05-27T05:12:51ZJohannes Rankejranke@uni-bremen.de2020-05-27T05:12:51Zurn:sha1:b5ee48a86e4b1d4c05aaadb80b44954e2e994ebcUpdate vignettes and docs2020-05-12T14:34:00ZJohannes Rankejranke@uni-bremen.de2020-05-12T14:34:00Zurn:sha1:6211f3ef4995657798686d8d4ab43ed9406e8a08Fix bug in yesterdays release, add methods for BIC2019-11-01T11:19:03ZJohannes Rankejranke@uni-bremen.de2019-11-01T11:19:03Zurn:sha1:bbb74d4f60033899cd5cdd36aa70f157bc52209eCorrect 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.
Fix hessian calculations2019-05-07T06:43:12ZJohannes Rankejranke@uni-bremen.de2019-05-07T06:43:12Zurn:sha1:c322a8102a399cbb1fe38c4c4ca4485cea8bc4e8
Static documentation rebuilt by pkgdown
After the OLS step, use OLS parameter estimates2019-05-07T06:12:27ZJohannes Rankejranke@uni-bremen.de2019-05-07T06:12:27Zurn:sha1:8a3475c59f3d91ce5ce7d980d6de09360617e7fe
- Fix the respective error in the code
- Static documentation rebuilt by pkgdown
Improve error model fitting2019-05-03T17:14:15ZJohannes Rankejranke@uni-bremen.de2019-05-03T17:14:15Zurn:sha1:1ef7008be2a72a0847064ad9c2ddcfa16b055482
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