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authorJohannes Ranke <jranke@uni-bremen.de>2014-05-07 14:47:28 +0200
committerJohannes Ranke <jranke@uni-bremen.de>2014-05-07 14:47:28 +0200
commite959fde98f95f3595e01490b67892678bbcd1b27 (patch)
tree992c56223a31c6937091dd5f9eeef63c2dd9e579 /man/mkinerrmin.Rd
parentd846ac7691ab648afbb5a98bbca91911396a95bf (diff)
Fork the gmkin GUI from mkin. See ChangeLog for details
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-\name{mkinerrmin}
-\Rdversion{1.1}
-\alias{mkinerrmin}
-\title{
-Calculate the minimum error to assume in order to pass the variance test
-}
-\description{
-This function uses \code{\link{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.
-}
-\usage{
-mkinerrmin(fit, alpha = 0.05)
-}
-\arguments{
- \item{fit}{
- an object of class \code{\link{mkinfit}}.
- }
- \item{alpha}{
- The confidence level chosen for the chi-squared test.
-}
-}
-\value{
- A dataframe with the following components:
- \item{err.min}{The relative error, expressed as a fraction.}
- \item{n.optim}{The number of optimised parameters attributed to the data series.}
- \item{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 \code{\link{summary.mkinfit}}.
-}
-\references{
- FOCUS (2006) \dQuote{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,
- \url{http://focus.jrc.ec.europa.eu/dk}
-}
-\keyword{ manip }

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