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-rw-r--r--man/mkinerrmin.Rd25
1 files changed, 12 insertions, 13 deletions
diff --git a/man/mkinerrmin.Rd b/man/mkinerrmin.Rd
index 654115b..c43d87a 100644
--- a/man/mkinerrmin.Rd
+++ b/man/mkinerrmin.Rd
@@ -10,30 +10,29 @@ smallest relative error still resulting in passing the chi-squared test
as defined in the FOCUS kinetics report from 2006.
}
\usage{
-mkinerrmin(errdata, n.parms, alpha = 0.05)
+mkinerrmin(fit, alpha = 0.05)
}
\arguments{
- \item{errdata}{
- A data frame with mean observed values in column named \code{value_mean}
- and predicted values in column \code{value_pred}.
-}
- \item{n.parms}{
- The number of optimized parameters to be taken into account for the data series.
-}
+ \item{fit}{
+ an object of class \code{\link{mkinfit}}.
+ }
\item{alpha}{
The confidence level chosen for the chi-squared test.
}
}
\value{
- A list with the following components:
+ 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.}
+ \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{mkinfit}}.
+ This function is used internally by \code{\link{summary.mkinfit}}.
}
\references{
FOCUS (2006) \dQuote{Guidance Document on Estimating Persistence and

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