mkin/check.log, branch v1.0.3 Fitting kinetic models to chemical degradation data (also on github) https://erac.jrwb.de/mkin/atom?h=v1.0.3 2021-02-15T14:20:53Z Improve README, introductory vignette and some other docs 2021-02-15T14:20:53Z Johannes Ranke jranke@uni-bremen.de 2021-02-15T13:08:13Z urn:sha1:a9427a09abdf7ce9aaeae7c7190f90c8f2e5ef52 Also bump version to 1.0.3. Update for gmkin 0.6.12 2021-02-13T05:54:46Z Johannes Ranke jranke@uni-bremen.de 2021-02-13T05:54:46Z urn:sha1:3532d769c1a3561de37e0d10cffa9801fe9df7c6 mkinfit: Keep model names stored in mkinmod objects, avoiding their loss in gmkin Documentation improvements, mainly fixing example code 2021-02-04T10:41:06Z Johannes Ranke jranke@uni-bremen.de 2021-02-04T10:24:22Z urn:sha1:ac183c732317cf6ede26a2ee127604a407f0a6b3 The errors in the example code were in the \dontrun sections, so they were not caught by CRAN checks. In addition, the static help files generated with pkgdown were cached, so I noticed the errors only after completely regenerating the documentation for version 1.0.0. Prepare for v1.0.0 2021-02-03T17:18:19Z Johannes Ranke jranke@uni-bremen.de 2021-02-03T15:41:31Z urn: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 Make saemix and corresponding tests optional 2021-01-06T19:38:29Z Johannes Ranke jranke@uni-bremen.de 2021-01-06T19:34:52Z urn:sha1:f99bdd8697c3bfbd432a320774a4692fd0e1241a Address release critical check and test issues mixed.mmkin and test coverage 2020-12-08T21:08:38Z Johannes Ranke jranke@uni-bremen.de 2020-12-08T21:08:38Z urn:sha1:f606838c5310f365eea1c0d6421f5c3636a4dc79 Improve interface to experimental version of nlme 2020-10-22T10:34:40Z Johannes Ranke jranke@uni-bremen.de 2020-10-22T10:34:40Z urn:sha1:4a6beafe6ca119500232ecda4b5672dd4a1877c2 The experimental nlme version in my drat repository contains the variance function structure varConstProp which makes it possible to use the two-component error model in generalized nonlinear models using nlme::gnls() and in mixed effects models using nlme::nlme(). Fix issues for release 2020-10-08T07:31:35Z Johannes Ranke jranke@uni-bremen.de 2020-10-08T07:31:35Z urn:sha1:bc3825ae2d12c18ea3d3caf17eb23c93fef180b8 Improve handling of (partially) failing fits 2020-07-15T10:30:39Z Johannes Ranke jranke@uni-bremen.de 2020-07-15T10:30:39Z urn:sha1:9f8e1eb33b586beb7e889212bdababa081b6ff67 Use all cores per default, confint tolerance 2020-05-26T16:52:01Z Johannes Ranke jranke@uni-bremen.de 2020-05-26T16:38:51Z urn:sha1:675a733fa2acc08daabb9b8b571c7d658f281f73 Also, use more intelligent starting values for the variance of the random effects for saemix. While this does not appear to speed up the convergence, it shows where this variance is greatly reduced by using mixed-effects models as opposed to the separate independent fits.