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Nash sutcliffe efficiency in r. In the situation of a perfect model with an estimation error variance equal to zero the resulting nash sutcliffe efficiency equals 1 nse 1. A logical value indicating whether na should be stripped before the computation proceeds. The nashsutcliffe efficiency is calculated as one minus the ratio of the error variance of the modeled time series divided by the variance of the observed time series. Usage nsestatobs mod ref null p 2 trans null negativesok false naaction napass arguments.
The nash sutcliffe efficiency nse is a normalized statistic that determines the relative magnitude of the residual variance noise compared to the measured data variance information nash and sutcliffe 1970. Nse indicates how well the plot of observed versus simulated data fits the 11 line. Generalisation of nash sutcliffe efficiency r squared as a fit statistic for time series. The default value is j1.
Nash sutcliffe efficiency indicates how well the plot of observed versus simulated data fits the 11 line. Nse 1 corresponds to a perfect match of the model to the observed data.
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