From c6079a807e2b400fe0c772603392aeacd887da2f Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Wed, 8 May 2019 20:57:48 +0200 Subject: 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 --- NEWS.md | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) (limited to 'NEWS.md') diff --git a/NEWS.md b/NEWS.md index ad6e9a87..f250ceba 100644 --- a/NEWS.md +++ b/NEWS.md @@ -1,8 +1,11 @@ -# 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 -- cgit v1.2.1