From 7e8d788d298b8e1492fd8f62d88456e99e0f5992 Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Thu, 4 Jul 2019 08:10:33 +0200 Subject: Address failures of CRAN checks, improve NEWS Static documentation rebuilt by pkgdown --- docs/news/index.html | 9 +++++---- 1 file changed, 5 insertions(+), 4 deletions(-) (limited to 'docs/news/index.html') diff --git a/docs/news/index.html b/docs/news/index.html index f8504768..0b82cbcc 100644 --- a/docs/news/index.html +++ b/docs/news/index.html @@ -122,9 +122,9 @@ -
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-mkin 0.9.49.5 (2019-07-03) Unreleased +mkin 0.9.49.5 (2019-07-04) Unreleased

  • 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 ‘d_3’ tries direct minimization and a three-step procedure, and returns the model with the highest likelihood.

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  • Remove dependency on FME, only use nlminb for optimisation (‘Port’ algorithm). I cannot remember cases where one of the other optimisation algorithms was preferable, except that I sometime used Levenberg-Marquardt for speed in cases where I did not expect to get trapped in a local minimum.

  • Use the numDeriv package to calculate hessians. This results in slightly different confidence intervals, takes a bit longer, but is apparently more robust

  • Add a simple benchmark vignette to document the impact on performance.

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  • The code for manual weighting was removed. This functionality might get added again at a later time.

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  • The code for manual weighting was removed. This functionality might get added again at a later time. For the time being, please use an earlier version, e.g. 0.9.48.1 if you want to do manual weighting.

  • The fitting time reported in the summary now includes the time used for calculation of the hessians

  • Adapt tests

  • Fix an error in the FOCUS chi2 error level calculations that occurred if parameters were specified in parms.ini that were not in the model. A warning was already issued, but when fitting in parallel via mmkin this could go unnoticed.

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  • Add example datasets obtained from risk assessment reports published by the European Food Safety Agency.

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