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authorJohannes Ranke <jranke@uni-bremen.de>2020-04-15 18:13:04 +0200
committerJohannes Ranke <jranke@uni-bremen.de>2020-04-15 19:00:06 +0200
commit42171ba55222383a0d47e5aacd46a972819e7812 (patch)
tree190320919fe83aece30b654bfeb7687241e36f99 /docs/reference/test_data_from_UBA_2014-2.png
parent637bd14fed5ab8a615f0d879012f12c59e1532a4 (diff)
Include random effects in starting parameters
- 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
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