mkin/docs/reference/logLik.mkinfit.html, branch C_analyticalFitting kinetic models to chemical degradation data (also on github)https://cgit.jrwb.de/mkin/atom?h=C_analytical2020-10-15T10:53:23ZUpdate online docs for release version2020-10-15T10:53:23ZJohannes Rankejranke@uni-bremen.de2020-10-15T10:53:23Zurn:sha1:5b1179f0daff9077e1370065f9b9f03a2d0e0450Update vignettes and docs2020-05-12T14:34:00ZJohannes Rankejranke@uni-bremen.de2020-05-12T14:34:00Zurn:sha1:6211f3ef4995657798686d8d4ab43ed9406e8a08Documentation improvements, rebuild static docs2020-05-12T06:36:31ZJohannes Rankejranke@uni-bremen.de2020-05-12T06:07:07Zurn:sha1:9ac853c7ceece333099021974025d07e75be2b33Add likelihood ratio test and other methods, fixes2019-10-31T00:59:05ZJohannes Rankejranke@uni-bremen.de2019-10-31T00:55:01Zurn:sha1:7091d3738e7e55acb20edb88772b228f6f5b6c98
The likelihood ratio test method is lrtest, in addition,
methods for update and residuals were added.
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.
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