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 --- docs/news/index.html | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) (limited to 'docs/news') diff --git a/docs/news/index.html b/docs/news/index.html index d165b6f9..11414ed3 100644 --- a/docs/news/index.html +++ b/docs/news/index.html @@ -122,13 +122,14 @@ -
+

-mkin 0.9.49.4 (2019-05-07) Unreleased +mkin 0.9.49.4 (2019-05-08) Unreleased

  • 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

  • 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

    • @@ -695,7 +696,7 @@

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