Fitting kinetic models to chemical degradation data (also on github) https://erac.jrwb.de/mkin/atom?h=v1.0.0 2020-10-15T10:53:23Z 2020-10-15T10:53:23Z Johannes Ranke jranke@uni-bremen.de 2020-10-15T10:53:23Z urn:sha1:5b1179f0daff9077e1370065f9b9f03a2d0e0450 2020-05-12T14:34:00Z Johannes Ranke jranke@uni-bremen.de 2020-05-12T14:34:00Z urn:sha1:6211f3ef4995657798686d8d4ab43ed9406e8a08 2020-05-12T06:36:31Z Johannes Ranke jranke@uni-bremen.de 2020-05-12T06:07:07Z urn:sha1:9ac853c7ceece333099021974025d07e75be2b33 2020-04-15T17:00:06Z Johannes Ranke jranke@uni-bremen.de 2020-04-15T16:13:04Z urn: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 2020-04-14T23:51:55Z Johannes Ranke jranke@uni-bremen.de 2020-04-14T23:27:02Z urn:sha1:082be7baa35d7e8131a70ca8cc061d90e08fa584