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authorJohannes Ranke <jranke@uni-bremen.de>2019-06-05 17:03:19 +0200
committerJohannes Ranke <jranke@uni-bremen.de>2019-06-05 17:03:19 +0200
commit5243ac0ebe3223e5803b4ebee1cb619008638785 (patch)
tree6be4e8e47f8735f4bbce23d8abf328a700e028d8 /NEWS.md
parentb061a00ba4f9410a4b77e58a96fb7baa1247252b (diff)
parent4b323789265213bd65165873e7efe5e45a579275 (diff)
Merge branch 'algorithm'
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-# 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.

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