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authorJohannes Ranke <jranke@uni-bremen.de>2019-05-08 20:57:48 +0200
committerJohannes Ranke <jranke@uni-bremen.de>2019-05-08 20:57:48 +0200
commitc6079a807e2b400fe0c772603392aeacd887da2f (patch)
tree5b590e06de87ce9cd5c776fccfabc8a629a10cad /NEWS.md
parentc322a8102a399cbb1fe38c4c4ca4485cea8bc4e8 (diff)
Add functionality to plot the error model
by plotting squared residuals against predicted values, and showing the variance function used in the fitted error model. Rebuild docs
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-# mkin 0.9.49.4 (2019-05-07)
+# mkin 0.9.49.4 (2019-05-08)
+
- 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
+- New function 'mkinerrplot'. This function is also used for residual plots in 'plot.mmkin' if the argument 'resplot = "errmod"' is given, and in 'plot.mkinfit' if 'show_errplot' is set to TRUE.
+
- Remove dependency on FME, only use nlminb for optimisation
- Use the numDeriv package to calculate hessians

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