# Function to collect useful results for a set of fitted kinetic models

## Usage

kinresults(kinfits, alpha = 0.05, DTmax = 1000, SFORB = TRUE)

## Arguments

kinfits
The list of kinetic model(s) for which to collect results. Usually this will have been generated by kinfit.
alpha
The confidence level chosen for the chi-squared test used in the call to kinerrmin.
DTmax
Upper end of the time interval that will be checked for the iterative determination of DT50 and DT90 values for the FOMC and the DFOP model. If the DT50 or the DT90 value is less than 0.1 different from DTmax, which will generally be the case if the optimization routine hits the upper end, the respective DT50 or DT90 value will be reported as NA.
SFORB
Should the results of the DFOP model be presented as parameters to the Single First-Order Reversible Binding (SFORB) model?

## Description

This function collects the parameters and some statistics for the fitted kinetic models. It also generates DT50 and DT90 estimates.

## Value

A list containing a list of the parameters fitted by the models, a dataframe containing some statistics for each of the fitted models, and a dataframe with the resulting DT50 and DT90 values.

## 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

data(FOCUS_2006_A)
kinfits <- kinfit(FOCUS_2006_A)
kinresults(kinfits)

$parms$parms$SFO$parms$SFO$parent.0
[1] 109.1531

$parms$SFO$k [1] 0.03721762$stats
n.times df mean.means      RSS    err.min        R2
SFO       8  6   50.05375 221.8078 0.08384814 0.9845033

\$results
DT50     DT90
SFO 18.62417 61.86815



Johannes Ranke