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hydroGOF (version 0.6-0)

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

1,876

Version

0.6-0

License

GPL (>= 2)

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Last Published

May 8th, 2024

Functions in hydroGOF (0.6-0)

APFB

Annual Peak Flow Bias
KGEkm

Kling-Gupta Efficiency with knowable-moments
R2

Coefficient of determination
KGElf

Kling-Gupta Efficiency for low values
HFB

High-flows bias
EgaEnEstellaQts

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

Non-parametric version of the Kling-Gupta Efficiency
NSE

Nash-Sutcliffe Efficiency
ve

Volumetric Efficiency
KGE

Kling-Gupta Efficiency
dr

Refined Index of Agreement
br2

br2
hydroGOF-package

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

Internal hydroGOF objects
d

Index of Agreement
mae

Mean Absolute Error
gof

Numerical Goodness-of-fit measures
cp

Coefficient of persistence
ggof

Graphical Goodness of Fit
mNSE

Modified Nash-Sutcliffe efficiency
pbias

Percent Bias
mse

Mean Squared Error
pfactor

P-factor
plotbandsonly

Adds uncertainty bounds to an existing plot.
plot2

Plotting 2 Time Series
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
nrmse

Normalized Root Mean Square Error
me

Mean Error
md

Modified Index of Agreement
rfactor

R-factor
rNSE

Relative Nash-Sutcliffe efficiency
rSpearman

Spearman's rank correlation coefficient
rd

Relative Index of Agreement
sKGE

Split Kling-Gupta Efficiency
rsr

Ratio of RMSE to the standard deviation of the observations
rmse

Root Mean Square Error
rPearson

Pearson correlation coefficient
rSD

Ratio of Standard Deviations
ssq

Sum of the Squared Residuals
wsNSE

Weighted seasonal Nash-Sutcliffe Efficiency
wNSE

Weighted Nash-Sutcliffe efficiency
valindex

Valid Indexes
ubRMSE

Unbiased Root Mean Square Error