From a350a16bb2c11986faf5883a2804d46b03bd7c8f Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Sat, 10 Sep 2016 05:21:52 +0200 Subject: Static documentation rebuilt with current staticdocs Using hadley/staticdocs commit #8c1069d from 8 days ago --- docs/mkinerrmin.html | 161 +++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 161 insertions(+) create mode 100644 docs/mkinerrmin.html (limited to 'docs/mkinerrmin.html') diff --git a/docs/mkinerrmin.html b/docs/mkinerrmin.html new file mode 100644 index 00000000..58cf6d47 --- /dev/null +++ b/docs/mkinerrmin.html @@ -0,0 +1,161 @@ + + + + +mkinerrmin. mkin 0.9.44.9000 + + + + + + + + + + + + + + + + + + +
+
+ +
+ +

+Calculate the minimum error to assume in order to pass the variance test +

+ +
+
+

Usage

+
mkinerrmin(fit, alpha = 0.05)
+ +

Arguments

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

Description

+ +

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.

+ +
+ +
+

Value

+ +

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

+ +

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

+ +

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.

+ +

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

+ +
+ +
+

Details

+ +

This function is used internally by summary.mkinfit.

+ +
+ +
+

References

+ +

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

+ +
+ +

Examples

+
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)
+
err.min n.optim df +All data 0.0640 4 15 +parent 0.0646 2 7 +m1 0.0469 2 8 +
+
fit_FOCUS_E = mkinfit(SFO_SFO, FOCUS_2006_E, quiet = TRUE) +round(mkinerrmin(fit_FOCUS_E), 4)
+
err.min n.optim df +All data 0.1544 4 13 +parent 0.1659 2 7 +m1 0.1095 2 6 +
+
+ +
+ + +
+ + \ No newline at end of file -- cgit v1.2.1