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authorJohannes Ranke <jranke@uni-bremen.de>2019-04-10 10:17:35 +0200
committerJohannes Ranke <jranke@uni-bremen.de>2019-04-10 10:17:35 +0200
commit194659fcaccdd1ee37851725b8c72e99daa3a8cf (patch)
treeedbbebe8956000b9eb725ca425b91e051571ec02 /NEWS.md
parent5814be02f286ce96d6cff8d698aea6844e4025f1 (diff)
Adapt tests, vignettes and examples
- Write the NEWS - Static documentation rebuilt by pkgdown - Adapt mkinerrmin - Fix (hopefully all) remaining problems in mkinfit
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+# mkin 0.9.49.4 (2019-04-09)
+- Direct minimization of the negative log-likelihood for non-constant error models (two-component and variance by variable). In the case the error model is constant variance, least squares is used as this is more stable
+
+- The argument 'reweight.method' to mkinfit and mmkin is now obsolete, use 'error_model' instead
+
+- Remove dependency on FME, only use nlminb for optimisation
+
+- Use the numDeriv package to calculate hessians
+
+- Add a benchmark vignette to document the impact on performance. For very simple fits, the new code is a bit slower, presumably because of the time it takes to calculate the hessian matrices with and without parameter transformation
+
+- The code for manual weighting was removed
+
+- The fitting time reported in the summary now includes the calculation of the hessians
+
+- Adapt tests
+
# mkin 0.9.48.1 (2019-03-04)
- Add the function 'logLik.mkinfit' which makes it possible to calculate an AIC for mkinfit objects

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