Goodness-of-Fit Functions for Comparison of Simulated and Observed Hydrological Time Series
Annual Peak Flow Bias
br2
Coefficient of persistence
Index of Agreement
Refined Index of Agreement
Graphical Goodness of Fit
Numerical Goodness-of-fit measures
High-flows bias
Internal hydroGOF objects
Goodness-of-fit (GoF) functions for numerical and graphical comparison...
Kling-Gupta Efficiency
Kling-Gupta Efficiency with knowable-moments
Kling-Gupta Efficiency for low values
Non-parametric version of the Kling-Gupta Efficiency
Mean Absolute Error
Modified Index of Agreement
Mean Error
Modified Nash-Sutcliffe efficiency
Mean Squared Error
Normalized Root Mean Square Error
Nash-Sutcliffe Efficiency
Percent Bias
Percent Bias in the Slope of the Midsegment of the Flow Duration Curve
P-factor
Plotting 2 Time Series
Plot a ts with observed values and two confidence bounds
Adds uncertainty bounds to an existing plot.
Coefficient of determination
Relative Index of Agreement
R-factor
Root Mean Square Error
Relative Nash-Sutcliffe efficiency
Pearson correlation coefficient
Ratio of Standard Deviations
Spearman's rank correlation coefficient
Ratio of RMSE to the standard deviation of the observations
Split Kling-Gupta Efficiency
Sum of the Squared Residuals
Unbiased Root Mean Square Error
Valid Indexes
Volumetric Efficiency
Weighted Nash-Sutcliffe efficiency
Weighted seasonal Nash-Sutcliffe Efficiency
S3 functions implementing both statistical and graphical goodness-of-fit measures between observed and simulated values, mainly oriented to be used during the calibration, validation, and application of hydrological models. Missing values in observed and/or simulated values can be removed before computations. Comments / questions / collaboration of any kind are very welcomed.