From 91c5db736a4d3f2290a0cc5698fb4e35ae7bda59 Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Wed, 18 May 2022 21:26:17 +0200 Subject: Remove outdated comment in FOCUS L vignette, update docs This also adds the first benchmark results obtained on my laptop system --- docs/index.html | 25 ++++++++----------------- 1 file changed, 8 insertions(+), 17 deletions(-) (limited to 'docs/index.html') diff --git a/docs/index.html b/docs/index.html index 4491b50f..0204d944 100644 --- a/docs/index.html +++ b/docs/index.html @@ -151,7 +151,7 @@
  • The usual one-sided t-test for significant difference from zero is nevertheless shown based on estimators for the untransformed parameters.
  • Summary and plotting functions. The summary of an mkinfit object is in fact a full report that should give enough information to be able to approximately reproduce the fit with other tools.
  • The chi-squared error level as defined in the FOCUS kinetics guidance (see below) is calculated for each observed variable.
    • -
  • The ‘variance by variable’ error model which is often fitted using Iteratively Reweighted Least Squares (IRLS) should now be specified as error_model = "obs".
    • +
  • The ‘variance by variable’ error model which is often fitted using Iteratively Reweighted Least Squares (IRLS) can be specified as error_model = "obs".
    • @@ -214,21 +214,12 @@

    References

    - - - - - - - - - + + +
    -Ranke J, Wöltjen J, Schmidt J, and Comets E (2021) Taking kinetic evaluations of degradation data to the next level with nonlinear mixed-effects models. Environments 8 (8) 71 doi:10.3390/environments8080071 -
    -Ranke J, Meinecke S (2019) Error Models for the Kinetic Evaluation of Chemical Degradation Data Environments 6 (12) 124 doi:10.3390/environments6120124 -
    -Ranke J, Wöltjen J, Meinecke S (2018) Comparison of software tools for kinetic evaluation of chemical degradation data Environmental Sciences Europe 30 17 doi:10.1186/s12302-018-0145-1 -
    Ranke J, Wöltjen J, Schmidt J, and Comets E (2021) Taking kinetic evaluations of degradation data to the next level with nonlinear mixed-effects models. Environments 8 (8) 71 doi:10.3390/environments8080071 +
    Ranke J, Meinecke S (2019) Error Models for the Kinetic Evaluation of Chemical Degradation Data Environments 6 (12) 124 doi:10.3390/environments6120124 +
    Ranke J, Wöltjen J, Meinecke S (2018) Comparison of software tools for kinetic evaluation of chemical degradation data Environmental Sciences Europe 30 17 doi:10.1186/s12302-018-0145-1 +
    @@ -292,7 +283,7 @@ Ranke J, Wöltjen J, Meinecke S (2018) Comparison of software tools for kinetic

    -

    Site built with pkgdown 2.0.2.

    +

    Site built with pkgdown 2.0.3.

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