mkin, branch v1.2.1 Fitting kinetic models to chemical degradation data (also on github) https://cgit.jrwb.de/mkin/atom?h=v1.2.1 2022-11-18T23:17:33Z Confirm which test fail on R-devel 2022-11-18T23:17:33Z Johannes Ranke jranke@uni-bremen.de 2022-11-18T23:17:33Z urn:sha1:64e245a16ec22cf864fcb5bae3b4b2fb2eee5905 Move two saem fits from setup script to skipped tests 2022-11-18T21:11:02Z Johannes Ranke jranke@uni-bremen.de 2022-11-18T21:11:02Z urn:sha1:5ec8e1bad1aa7d79ee9c19bdd50be07f81a14278 Save winbuilder/CRAN check time... Use cluster with two cores to reduce windows check time 2022-11-18T19:35:06Z Johannes Ranke jranke@uni-bremen.de 2022-11-18T19:35:06Z urn:sha1:b6b7e387261e5483f1bdfafaaa975e2f24c6567c Update docs 2022-11-18T18:23:56Z Johannes Ranke jranke@uni-bremen.de 2022-11-18T18:23:56Z urn:sha1:317fd7514e638780c09ed6349a165a854ba2deea Make mixed model test data permanent to ensure reproducibility 2022-11-18T18:14:47Z Johannes Ranke jranke@uni-bremen.de 2022-11-18T18:14:47Z urn:sha1:5364f037a72863ef5ba81e14ba4417f68fd389f9 To ensure that tests on different platforms work on the same data, the mixed modelling test data previosly generated in tests/testthat/setup_script.R were generated once using the script in inst/dataset/generation/ds_mixed.R, and are now distributed with the package. Round parameters with signif() before printing 2022-11-18T10:31:49Z Johannes Ranke jranke@uni-bremen.de 2022-11-18T09:09:28Z urn:sha1:a14237fc1580b09f8772cd3330b0a445785e48ac This will hopefully make the test pass on all relevant platforms. Prepare follow-up release to fix CRAN checks 2022-11-18T08:16:50Z Johannes Ranke jranke@uni-bremen.de 2022-11-18T08:16:50Z urn:sha1:76deb3739d563068ccd4637afa8933d6ddbc70ef Remove candidate patches that were accidentally committed 2022-11-18T08:12:49Z Johannes Ranke jranke@uni-bremen.de 2022-11-18T08:12:49Z urn:sha1:13b3daaaa7c47d178ee59ab116aa71b7bf2f5c9b Update NEWS 2022-11-18T07:46:54Z Johannes Ranke jranke@uni-bremen.de 2022-11-18T07:46:54Z urn:sha1:72c4bb7b4bb3b9f1f6cceba484f1de7adcc104a3 Pass error.init to saemix_model, show in parplot 2022-11-18T07:37:40Z Johannes Ranke jranke@uni-bremen.de 2022-11-18T07:37:40Z urn:sha1:df0cff4b829f1abf62f037591a24a8019174dd0a Due to an oversight, error.init was not really passed to saemix_model in saem.mmkin. The new initial values were reverted to c(1, 1), in order to avoid changing the test results. Initial values for error model parameters are now shown in parplot.multistart.