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hydroGOF (version 0.4-0)

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

2,262

Version

0.4-0

License

GPL (>= 2)

Issues

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Maintainer

Mauricio ZambranoBigiarini

Last Published

March 12th, 2020

Functions in hydroGOF (0.4-0)

hydroGOF-internal

Internal hydroGOF objects
EgaEnEstellaQts

Ega in "Estella" (Q071), ts with daily streamflows.
br2

br2
KGE

Kling-Gupta Efficiency
ggof

Graphical Goodness of Fit
cp

Coefficient of persistence
ve

Volumetric Efficiency
gof

Numerical Goodness-of-fit measures
NSE

Nash-Sutcliffe Efficiency
d

Index of Agreement
nrmse

Normalized Root Mean Square Error
pbiasfdc

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

Percent Bias
rd

Relative 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.
mae

Mean Absolute Error
mse

Mean Squared Error
plotbandsonly

Adds uncertainty bounds to an existing plot.
mNSE

Modified Nash-Sutcliffe efficiency
rSD

Ratio of Standard Deviations
rmse

Root Mean Square Error
rPearson

Mean Squared Error
pfactor

P-factor
me

Mean Error
md

Modified index of agreement
plotbands

Plot a ts with observed values and two confidence bounds
rNSE

Relative Nash-Sutcliffe efficiency
rfactor

R-factor
ssq

Sum of the Squared Residuals
plot2

Plotting 2 Time Series
rsr

Ratio of RMSE to the standard deviation of the observations
valindex

Valid Indexes