mkin/man/mmkin.Rd, branch v1.0.4Fitting kinetic models to chemical degradation data (also on github)https://erac.jrwb.de/mkin/atom?h=v1.0.42021-04-21T11:11:47ZVersion 1.0.4 published yesterday2021-04-21T11:11:47ZJohannes Rankejranke@uni-bremen.de2021-04-21T11:11:47Zurn:sha1:c74b79c983fe9fc872bac1262040e82f16049477Documentation improvements, mainly fixing example code2021-02-04T10:41:06ZJohannes Rankejranke@uni-bremen.de2021-02-04T10:24:22Zurn: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.
Depend on parallel, doc improvements2020-11-19T14:41:24ZJohannes Rankejranke@uni-bremen.de2020-11-19T14:41:24Zurn:sha1:db9ae6a0c9cecb92048fde6f06af1da183c09b5f
By depending on parallel instead of importing it, functions to set up
and stop a cluster are always available when mkin is loaded.
The use of multicore processing in mmkin on Windows is now documented in
the help file, which brings mkin closer to a version 1.0 #9.
Fast analytical solutions for saemix, update.mmkin2020-11-05T23:03:29ZJohannes Rankejranke@uni-bremen.de2020-11-05T23:03:29Zurn:sha1:b5b446b718b15ccaae5b197e147fc1358f0f564e
Also, use logit transformation for g and for solitary formation
fractions, addressing #10.
Improve tests2020-07-15T12:16:29ZJohannes Rankejranke@uni-bremen.de2020-07-15T12:11:25Zurn:sha1:39b0b93b5d15a3a0e9126f29c753e2fef75dc701
- Reduce significant digits for the objective function output in
mkinfit(..., quiet = FALSE) as R and R-devel gave different output on my
system
- Add makefile target 'devtest' for testing with R-devel, in order
to fix problems showing up with R-devel on Travis
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.
Documentation improvements, rebuild static docs2020-05-12T06:36:31ZJohannes Rankejranke@uni-bremen.de2020-05-12T06:07:07Zurn:sha1:9ac853c7ceece333099021974025d07e75be2b33Add some tests for the nlme convenience functions2020-04-07T18:25:03ZJohannes Rankejranke@uni-bremen.de2020-04-07T18:25:03Zurn:sha1:c5878e0c561a93f36f8fdc64d5839db2a0527572First nlme fits for models with a metabolite2020-03-30T12:03:51ZJohannes Rankejranke@uni-bremen.de2020-03-30T12:03:51Zurn:sha1:405cde11f9f26fcab0742e84c110cf3dcb2a4c1fUse roxygen for functions and methods2019-10-25T00:03:54ZJohannes Rankejranke@uni-bremen.de2019-10-24T22:37:42Zurn:sha1:0a3eb0893cb4bd1b12f07a79069d1c7f5e991495