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authorJohannes Ranke <jranke@uni-bremen.de>2019-05-07 08:12:27 +0200
committerJohannes Ranke <jranke@uni-bremen.de>2019-05-07 08:12:27 +0200
commit8a3475c59f3d91ce5ce7d980d6de09360617e7fe (patch)
treea0a8bf1053e8bab09921b84916f1ace15e8ae8a4 /NEWS.md
parent1ef7008be2a72a0847064ad9c2ddcfa16b055482 (diff)
After the OLS step, use OLS parameter estimates
- Fix the respective error in the code - Static documentation rebuilt by pkgdown
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-# mkin 0.9.49.4 (2019-04-09)
+# mkin 0.9.49.4 (2019-05-07)
- 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

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