hydroGOF

hydroGOF is an R package that provides 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 removed before the computations. Bugs / comments / questions / collaboration of any kind are very welcomed.

Installation

Installing the latest stable version from CRAN:

install.packages("hydroGOF")

Alternatively, you can also try the under-development version from Github:

if (!require(devtools)) install.packages("devtools")
library(devtools)
install_github("hzambran/hydroGOF")

Reporting bugs, requesting new features

If you find an error in some function, or want to report a typo in the documentation, or to request a new feature (and wish it be implemented :) you can do it here

Citation

citation("hydroGOF")

To cite hydroGOF in publications use:

Mauricio Zambrano-Bigiarini. hydroGOF: Goodness-of-fit functions for comparison of simulated and observed hydrological time series. R package version 0.4-0. URL https://github.com/hzambran/hydroGOF. DOI:10.5281/zenodo.839854.

A BibTeX entry for LaTeX users is

@Manual{hydroGOF,
title = {hydroGOF: Goodness-of-fit functions for comparison of simulated and observed hydrological time series},
author = {{Mauricio Zambrano-Bigiarini}},
note = {R package version 0.4-0},
url = {https://github.com/hzambran/hydroGOF},
doi = {DOI:10.5281/zenodo.839854},
}

Vignette

Here you can find an introductory vignette showing the use of several hydroGOF functions.

Related Material

R: a statistical environment for hydrological analysis (EGU-2010) abstract, poster.
Comparing Goodness-of-fit Measures for Calibration of Models Focused on Extreme Events (EGU-2012) abstract, poster.
Using R for analysing spatio-temporal datasets: a satellite-based precipitation case study (EGU-2017) abstract, poster.

sluedtke/hydroGOF