mkin/NAMESPACE, branch C_analyticalFitting kinetic models to chemical degradation data (also on github)https://cgit.jrwb.de/mkin/atom?h=C_analytical2020-11-03T04:08:25ZC implementation of the SFO function2020-11-03T04:08:25ZJohannes Rankejranke@uni-bremen.de2020-11-03T04:08:25Zurn:sha1:5a986f2064cf0b2fbd94e636cc4fa56d9939ca42
Only pays off for large time series with length >> 100
Add summary method for nlme.mmkin objects2020-10-27T14:36:46ZJohannes Rankejranke@uni-bremen.de2020-10-27T14:34:14Zurn:sha1:a5874ab7fce4616e80be69366ff0685332f47bf1
Improve and update docs
Plot method for nlme.mmkin objects2020-10-23T22:32:00ZJohannes Rankejranke@uni-bremen.de2020-10-23T22:32:00Zurn:sha1:dd80ab5d64bc6b56587b0542dc95e965a3a25590
Update docs
Reintroduce saemix helper functions2020-10-15T08:25:48ZJohannes Rankejranke@uni-bremen.de2020-10-15T08:25:48Zurn:sha1:954f7514144a281b73e9b47ac88a6b13e8799f31Fix issues for release2020-10-08T07:31:35ZJohannes Rankejranke@uni-bremen.de2020-10-08T07:31:35Zurn:sha1:bc3825ae2d12c18ea3d3caf17eb23c93fef180b8Require upcoming nlme version, remove anova.nlme.mmkin2020-07-20T19:02:28ZJohannes Rankejranke@uni-bremen.de2020-07-20T19:02:28Zurn:sha1:2f492ce2acf21610a7b15ce5d1878cf0f2ae5b4d
The method is no longer necessary, now that Bug 17761 is fixed upstream
https://bugs.r-project.org/bugzilla/show_bug.cgi?id=17761
Warn if standardized residuals are unlikely normal2020-05-29T13:03:04ZJohannes Rankejranke@uni-bremen.de2020-05-29T13:03:04Zurn:sha1:510436646b1bdd5b8cfab70be29334bd3cc9c828
This revealed a bug in the data returned in mkinfit$data in the case
of the d_3 algorithm, which also affected the residual plot - the
data from the direct fitting was not returned even if this was
the better method.
Use all cores per default, confint tolerance2020-05-26T16:52:01ZJohannes Rankejranke@uni-bremen.de2020-05-26T16:38:51Zurn: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.
Tell travis where to find the required saemix version2020-05-25T12:21:04ZJohannes Rankejranke@uni-bremen.de2020-05-25T12:21:04Zurn:sha1:e22a68e1c92e4494e2d695421f40d099dbd070f2First working version of saemix helper functions2020-05-25T11:01:23ZJohannes Rankejranke@uni-bremen.de2020-05-25T11:01:23Zurn:sha1:9f9336d59e68690472888bfdeb12944176d7d272
saemix_data depends on a development version of saemix, see
pull request saemixdevelopment/saemixextension#2