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hydroGOF (version 0.3-10)

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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Version

Install

install.packages('hydroGOF')

Monthly Downloads

2,586

Version

0.3-10

License

GPL (>= 2)

Maintainer

Mauricio ZambranoBigiarini

Last Published

August 8th, 2017

Functions in hydroGOF (0.3-10)

gof

Numerical Goodness-of-fit measures
hydroGOF-internal

Internal hydroGOF objects
EgaEnEstellaQts

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

Kling-Gupta Efficiency
br2

br2
cp

Coefficient of persistence
NSE

Nash-Sutcliffe Efficiency
ve

Volumetric Efficiency
d

Index of Agreement
ggof

Graphical Goodness of Fit
mae

Mean Absolute Error
md

Modified index of agreement
hydroGOF-package

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

Modified Nash-Sutcliffe efficiency
rPearson

Mean Squared Error
rSD

Ratio of Standard Deviations
me

Mean Error
mse

Mean Squared Error
rd

Relative Index of Agreement
rfactor

R-factor
ssq

Sum of the Squared Residuals
valindex

Valid Indexes
pbiasfdc

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

P-factor
plot2

Plotting 2 Time Series
plotbands

Plot a ts with observed values and two confidence bounds
rmse

Root Mean Square Error
rsr

Ratio of RMSE to the standard deviation of the observations
nrmse

Normalized Root Mean Square Error
pbias

Percent Bias
plotbandsonly

Adds uncertainty bounds to an existing plot.
rNSE

Relative Nash-Sutcliffe efficiency