mkin/docs/reference/logistic.solution-1.png, branch v1.0.3 Fitting kinetic models to chemical degradation data (also on github) https://erac.jrwb.de/mkin/atom?h=v1.0.3 2020-10-15T10:53:23Z Update online docs for release version 2020-10-15T10:53:23Z Johannes Ranke jranke@uni-bremen.de 2020-10-15T10:53:23Z urn:sha1:5b1179f0daff9077e1370065f9b9f03a2d0e0450 Static documentation rebuilt by pkgdown 2020-05-07T06:59:29Z Johannes Ranke jranke@uni-bremen.de 2020-05-07T06:59:29Z urn:sha1:8bdb4cd437a9d4663e542f95869e8692aa38dadb Additional algorithm "d_c", more tests, docs 2019-06-04T13:09:28Z Johannes Ranke jranke@uni-bremen.de 2019-06-04T13:09:28Z urn: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. Add the logistic model 2019-02-21T13:50:27Z Johannes Ranke jranke@uni-bremen.de 2019-02-21T13:34:45Z urn:sha1:d89e3d22eb9dc383897b09e9c5aa1b57f65cdbf0