From 7c62da1269e8910a210ba1917d4dc62d186d5606 Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Thu, 6 Oct 2016 09:40:35 +0200 Subject: Static documentation rebuilt by pkgdown::build_site() --- docs/mkinerrmin.html | 161 --------------------------------------------------- 1 file changed, 161 deletions(-) delete mode 100644 docs/mkinerrmin.html (limited to 'docs/mkinerrmin.html') diff --git a/docs/mkinerrmin.html b/docs/mkinerrmin.html deleted file mode 100644 index 58cf6d47..00000000 --- a/docs/mkinerrmin.html +++ /dev/null @@ -1,161 +0,0 @@ - - - - -mkinerrmin. mkin 0.9.44.9000 - - - - - - - - - - - - - - - - - - -
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-Calculate the minimum error to assume in order to pass the variance test -

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Usage

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mkinerrmin(fit, alpha = 0.05)
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Arguments

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fit
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- an object of class mkinfit. -
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alpha
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- The confidence level chosen for the chi-squared test. -
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Description

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This function uses optimize in order to iteratively find the -smallest relative error still resulting in passing the chi-squared test -as defined in the FOCUS kinetics report from 2006.

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Value

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- A dataframe with the following components: -
err.min
The relative error, expressed as a fraction.

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n.optim
The number of optimised parameters attributed to the data series.

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df
The number of remaining degrees of freedom for the chi2 error level - calculations. Note that mean values are used for the chi2 statistic and - therefore every time point with observed values in the series only counts - one time.

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The dataframe has one row for the total dataset and one further row for - each observed state variable in the model. -

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Details

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This function is used internally by summary.mkinfit.

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References

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FOCUS (2006) “Guidance Document on Estimating Persistence and - Degradation Kinetics from Environmental Fate Studies on Pesticides in EU - Registration” Report of the FOCUS Work Group on Degradation Kinetics, - EC Document Reference Sanco/10058/2005 version 2.0, 434 pp, - http://focus.jrc.ec.europa.eu/dk

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Examples

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SFO_SFO = mkinmod(parent = list(type = "SFO", to = "m1"), - m1 = list(type = "SFO"), - use_of_ff = "max")
-Successfully compiled differential equation model from auto-generated C code. -
-fit_FOCUS_D = mkinfit(SFO_SFO, FOCUS_2006_D, quiet = TRUE) -round(mkinerrmin(fit_FOCUS_D), 4)
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err.min n.optim df -All data 0.0640 4 15 -parent 0.0646 2 7 -m1 0.0469 2 8 -
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fit_FOCUS_E = mkinfit(SFO_SFO, FOCUS_2006_E, quiet = TRUE) -round(mkinerrmin(fit_FOCUS_E), 4)
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err.min n.optim df -All data 0.1544 4 13 -parent 0.1659 2 7 -m1 0.1095 2 6 -
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- - \ No newline at end of file -- cgit v1.2.1