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hydroGOF (version 0.5-4)

Goodness-of-Fit Functions for Comparison of Simulated and Observed Hydrological Time Series

Description

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.

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Install

install.packages('hydroGOF')

Monthly Downloads

2,586

Version

0.5-4

License

GPL (>= 2)

Issues

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Maintainer

Mauricio ZambranoBigiarini

Last Published

January 21st, 2024

Functions in hydroGOF (0.5-4)

ve

Volumetric Efficiency
NSE

Nash-Sutcliffe Efficiency
KGE

Kling-Gupta Efficiency
R2

Coefficient of determination
EgaEnEstellaQts

Ega in "Estella" (Q071), ts with daily streamflows.
d

Index of Agreement
KGElf

Kling-Gupta Efficiency for low values
cp

Coefficient of persistence
KGEnp

Non-parametric version of the Kling-Gupta Efficiency
br2

br2
me

Mean Error
dr

Refined Index of Agreement
md

Modified index of agreement
mNSE

Modified Nash-Sutcliffe efficiency
hydroGOF-internal

Internal hydroGOF objects
hydroGOF-package

Goodness-of-fit (GoF) functions for numerical and graphical comparison of simulated and observed time series, mainly focused on hydrological modelling.
mse

Mean Squared Error
gof

Numerical Goodness-of-fit measures
ggof

Graphical Goodness of Fit
mae

Mean Absolute Error
plot2

Plotting 2 Time Series
nrmse

Normalized Root Mean Square Error
rNSE

Relative Nash-Sutcliffe efficiency
plotbands

Plot a ts with observed values and two confidence bounds
pbiasfdc

Percent Bias in the Slope of the Midsegment of the Flow Duration Curve
rSD

Ratio of Standard Deviations
rPearson

Pearson correlation coefficient
pfactor

P-factor
plotbandsonly

Adds uncertainty bounds to an existing plot.
pbias

Percent Bias
rfactor

R-factor
rd

Relative Index of Agreement
rSpearman

Spearman's rank correlation coefficient
rmse

Root Mean Square Error
ssq

Sum of the Squared Residuals
valindex

Valid Indexes
rsr

Ratio of RMSE to the standard deviation of the observations
sKGE

Split Kling-Gupta Efficiency
wNSE

Weighted Nash-Sutcliffe efficiency
ubRMSE

Unbiased Root Mean Square Error