mkin/DESCRIPTION, branch v0.9.49.6Fitting kinetic models to chemical degradation data (also on github)https://cgit.jrwb.de/mkin/atom?h=v0.9.49.62019-10-31T11:44:52ZIncrease tolerance of a test for winbuilder2019-10-31T11:44:52ZJohannes Rankejranke@uni-bremen.de2019-10-31T11:44:52Zurn:sha1:70e48e8360875f22970174d409c46cb3f076fa99
- Update DESCRIPTION for release
Add likelihood ratio test and other methods, fixes2019-10-31T00:59:05ZJohannes Rankejranke@uni-bremen.de2019-10-31T00:55:01Zurn:sha1:7091d3738e7e55acb20edb88772b228f6f5b6c98
The likelihood ratio test method is lrtest, in addition,
methods for update and residuals were added.
Fix the cutoff for likelihood based intervals2019-10-28T12:23:40ZJohannes Rankejranke@uni-bremen.de2019-10-28T12:23:40Zurn:sha1:bd761d879a95872f82e6d8f893634a61e122a938
The cutoff now matches what is given by Venzon and Moolgavkar (1988).
Also, confidence intervals closely match intervals obtained with
stats4::confint in the test case where an stats4::mle object
is created from the likelihood function in one test case.
Static documentation rebuilt by pkgdown
Fix checks and tests2019-10-26T20:52:53ZJohannes Rankejranke@uni-bremen.de2019-10-26T20:52:53Zurn:sha1:6e5630a0df7e857697ff2ce4730a5f7f45b67377
Static documentation rebuilt by pkgdown
Refactor mkinfit, infrastructure work2019-10-21T10:11:34ZJohannes Rankejranke@uni-bremen.de2019-10-21T10:11:34Zurn:sha1:7624a2b8398b4ad665a3b0b622488e1893a5ee7c
mkinfit objects now include an ll() function to calculate the
log-likelihood. Part of the code was refactored, hopefully making it
easier to read and maintain. IRLS is currently the default algorithm for
the error model "obs", for no particular reason. This may be subject
to change when I get around to investigate.
Slow tests are now in a separate subdirectory and will probably
only be run by my own Makefile target.
Formatting of test logs is improved.
Roundtripping error model parameters works with a precision of 10% when
we use lots of replicates in the synthetic data (see slow tests). This
is not new in this commit, but as I think it is reasonable this
closes #7.
Some changes to improve plots on beamer slides2019-09-02T14:14:50ZJohannes Rankejranke@uni-bremen.de2019-09-02T14:14:50Zurn:sha1:ee99cf40fdf6d986a909010d18063ad032f69899Static documentation rebuilt by pkgdown2019-07-05T13:57:24ZJohannes Rankejranke@uni-bremen.de2019-07-05T13:57:24Zurn:sha1:4596667b19f032232ceb8f3f762aaad5d69c15beAddress failures of CRAN checks, improve NEWS2019-07-04T06:10:33ZJohannes Rankejranke@uni-bremen.de2019-07-04T06:10:33Zurn:sha1:7e8d788d298b8e1492fd8f62d88456e99e0f5992
Static documentation rebuilt by pkgdown
Update DESCRIPTION, improve NEWS2019-07-03T14:45:09ZJohannes Rankejranke@uni-bremen.de2019-07-03T14:45:09Zurn:sha1:798195d367111e592e5247309b90fac29ed7ddfd
Static documentation rebuilt by pkgdown
Additional algorithm "d_c", more tests, docs2019-06-04T13:09:28ZJohannes Rankejranke@uni-bremen.de2019-06-04T13:09:28Zurn: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.