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@@ -1,3 +1,20 @@ +# 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 |