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hydroGOF (version 0.2-2)

Goodness-of-fit functions for comparison of simulated and observed hydrological time series

Description

S3 functions implementing both statistical and graphical goodnes-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 removed before the computations. Comments / questions / collaboration of any kind are very welcomed.

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Version

Install

install.packages('hydroGOF')

Monthly Downloads

2,259

Version

0.2-2

License

GPL (>= 2)

Maintainer

Mauricio Zambrano Bigiarini

Last Published

April 14th, 2011

Functions in hydroGOF (0.2-2)

nrmse

Normalized Root Mean Square Error
plot2

Plotting 2 Time Series
mse

Mean Squared Error
hydroGOF-internal

Internal hydroGOF objects
rSD

Ratio of Standard Deviations
rNSeff

Relative Nash-Sutcliffe efficiency
mae

Mean Absolute Error
mNSeff

Modified Nash-Sutcliffe efficiency
rfactor

R-factor
rsr

Ratio of RMSE to the standard deviation of the observations
rd

Relative Index of Agreement
rmse

Root Mean Square Error
d

Index of Agreement
ssq

Sum of the Squared Residuals
valindex

Valid Indexes
md

Modified index of agreement
EgaEnEstellaQts

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

P-factor
ggof

Graphical Goodness of Fit
plotbandsonly

Adds uncertainty bounds to an existing plot.
pbias

Percent Bias
me

Mean Error
NSeff

Nash-Sutcliffe Efficiency
plotbands

Plot a ts with observed values and two confidence bounds
hydroGOF-package

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

Kling-Gupta Efficiency
cp

Coefficient of persistence
gof

Numerical Goodness of Fit
pbiasfdc

Percent Bias in the Slope of the Midsegment of the Flow Duration Curve
br2

br2