From 95178837d3f91e84837628446b5fd468179af2b9 Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Tue, 4 Jun 2019 15:09:28 +0200 Subject: Additional algorithm "d_c", more tests, docs The new algorithm tries direct optimization of the likelihood, as well as a three step procedure. In this way, we consistently get the model with the highest likelihood for SFO, DFOP and HS for all 12 new test datasets. --- NEWS.md | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) (limited to 'NEWS.md') diff --git a/NEWS.md b/NEWS.md index 7ee35676..0a2b3300 100644 --- a/NEWS.md +++ b/NEWS.md @@ -1,8 +1,10 @@ -# mkin 0.9.49.4 (2019-05-23) +# mkin 0.9.49.5 (2019-06-04) -- 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 +- Several algorithms for 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 default algorithm tries direct minimization and a three step procedure, and returns the model with the highest likelihood. -- The argument 'reweight.method' to mkinfit and mmkin is now obsolete, use 'error_model' instead +- The argument 'reweight.method' to mkinfit and mmkin is now obsolete, use 'error_model' and 'error_model_algorithm' instead + +- Add a test that checks if we get the best known AIC for parent only fits to 12 test datasets. Add these test datasets for this purpose. - 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. -- cgit v1.2.1