mkin/docs/reference/plot.mmkin.html, branch nlmixrFitting kinetic models to chemical degradation data (also on github)https://cgit.jrwb.de/mkin/atom?h=nlmixr2021-03-31T17:42:17ZBug fix in plot.mkinfit2021-03-31T17:42:17ZJohannes Rankejranke@uni-bremen.de2021-03-31T17:42:17Zurn:sha1:3a5463672c297b37c3c9135c8b144c48744c05d0
In residual plots, use xlab and xlim if appropriate
Improve README, introductory vignette and some other docs2021-02-15T14:20:53ZJohannes Rankejranke@uni-bremen.de2021-02-15T13:08:13Zurn:sha1:a9427a09abdf7ce9aaeae7c7190f90c8f2e5ef52
Also bump version to 1.0.3.
Prepare 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
Update 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:sha1:9ac853c7ceece333099021974025d07e75be2b33Include random effects in starting parameters2020-04-15T17:00:06ZJohannes Rankejranke@uni-bremen.de2020-04-15T16:13:04Zurn:sha1:42171ba55222383a0d47e5aacd46a972819e7812
- mean_degparms() now optionally returns starting values for fixed and
random effects, which makes it possible to obtain acceptable fits
also in more difficult cases (with more parameters)
- Fix the anova method, as it is currently not enough to inherit from
lme: https://bugs.r-project.org/bugzilla/show_bug.cgi?id=17761
- Show fit information, and per default also errmin information
in plot.nlme.mmkin()
- Examples for nlme.mmkin: Decrease tolerance and increase the number of
iterations in the PNLS step in order to be able to fit FOMC-SFO and
DFOP-SFO
Improve 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 pkgdown2020-03-30T19:43:10ZJohannes Rankejranke@uni-bremen.de2020-03-30T19:43:10Zurn:sha1:575fcacaa33076de97f41a79afb37efb97ca82e0