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ErrorCrit_NSE(InputsCrit, OutputsModel, warnings = TRUE, verbose = TRUE)
\arguments{
\item{InputsCrit}{[object of class \emph{InputsCrit}] see \code{\link{CreateInputsCrit}} for details}
\item{OutputsModel}{[object of class \emph{OutputsModel}] see \code{\link{RunModel_GR4J}} or \code{\link{RunModel_CemaNeigeGR4J}} for details}
\item{warnings}{(optional) [boolean] boolean indicating if the warning messages are shown, default = \code{TRUE}}
\item{verbose}{(optional) [boolean] boolean indicating if the function is run in verbose mode or not, default = \code{TRUE}}
\value{
[list] list containing the function outputs organised as follows:
\tabular{ll}{
\emph{$CritValue } \tab [numeric] value of the criterion \cr
\emph{$CritName } \tab [character] name of the criterion \cr
\emph{$CritBestValue } \tab [numeric] theoretical best criterion value \cr
\emph{$Multiplier } \tab [numeric] integer indicating whether the criterion is indeed an error (+1) or an efficiency (-1) \cr
\emph{$Ind_notcomputed} \tab [numeric] indices of the time steps where \emph{InputsCrit$BoolCrit} = \code{FALSE} or no data is available \cr
\description{
Function which computes an error criterion based on the NSE formula proposed by Nash & Sutcliffe (1970).
}
In addition to the criterion value, the function outputs include a multiplier (-1 or +1) which allows
the use of the function for model calibration: the product CritValue * Multiplier is the criterion to be minimised
\examples{
## see example of the ErrorCrit function
}
River flow forecasting through conceptual models part 1.
A discussion of principles, Journal of Hydrology, 10(3), 282-290, doi:10.1016/0022-1694(70)90255-6. \cr
}
\seealso{
\code{\link{ErrorCrit_RMSE}}, \code{\link{ErrorCrit_KGE}}, \code{\link{ErrorCrit_KGE2}}
}