Hydrological Evaluation Metrics and Goodness-of-Fit Summaries

Documentation for package ‘hydroeval’ version 0.1.0

as.data.frame.hydroeval_gof	Registry-Driven Goodness-of-Fit Summary
as.data.frame.hydroeval_gof_compare	Multi-Dataset Goodness-of-Fit Comparison
as.matrix.hydroeval_gof	Registry-Driven Goodness-of-Fit Summary
as.matrix.hydroeval_gof_compare	Multi-Dataset Goodness-of-Fit Comparison
ccc	Concordance Correlation Coefficient
d	Index of Agreement
d_r	Refined Index of Agreement
evs	Explained Variance Score
gof	Registry-Driven Goodness-of-Fit Summary
gof_compare	Multi-Dataset Goodness-of-Fit Comparison
kge_2009	Kling-Gupta Efficiency (2009)
kge_2012	Kling-Gupta Efficiency (2012)
mae	Mean Absolute Error
mape	Mean Absolute Percentage Error
max_error	Maximum Absolute Error
me	Mean Error
medae	Median Absolute Error
mse	Mean Squared Error
msle	Mean Squared Logarithmic Error
nrmse	Normalized Root Mean Squared Error
nse	Nash-Sutcliffe Efficiency
pbias	Percent Bias
print.hydroeval_gof	Registry-Driven Goodness-of-Fit Summary
print.hydroeval_gof_compare	Multi-Dataset Goodness-of-Fit Comparison
r	Pearson Correlation Coefficient
rae	Relative Absolute Error
rho	Spearman Rank Correlation Coefficient
rmse	Root Mean Squared Error
rmsle	Root Mean Squared Logarithmic Error
rrse	Root Relative Squared Error
rsd	Relative Standard Deviation
rsr	RMSE-Standard Deviation Ratio
r_squared	Coefficient of Determination
sae	Sum of Absolute Errors
smape	Symmetric Mean Absolute Percentage Error
sse	Sum of Squared Errors
ubrmse	Unbiased Root Mean Squared Error
ve	Volumetric Efficiency
wape	Weighted Absolute Percentage Error