hydroGOF: Goodness-of-Fit Functions for Comparison of Simulated and Observed Hydrological Time Series

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.

Version: 0.4-0
Depends: R (≥ 2.10.0), zoo (≥ 1.7-2)
Imports: hydroTSM (≥ 0.5-0), xts (≥ 0.8-2), methods
Suggests: knitr
Published: 2020-03-12
Author: Mauricio Zambrano-Bigiarini ORCID iD [aut, cre, cph]
Maintainer: Mauricio Zambrano-Bigiarini <mzb.devel at gmail.com>
BugReports: https://github.com/hzambran/hydroGOF/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/hzambran/hydroGOF
NeedsCompilation: no
Citation: hydroGOF citation info
Materials: NEWS ChangeLog
In views: Environmetrics, Hydrology
CRAN checks: hydroGOF results

Downloads:

Reference manual: hydroGOF.pdf
Vignettes: Tutorial for computing goodness-of-fit measures with hydroGOF
Package source: hydroGOF_0.4-0.tar.gz
Windows binaries: r-devel: hydroGOF_0.4-0.zip, r-release: hydroGOF_0.4-0.zip, r-oldrel: hydroGOF_0.4-0.zip
macOS binaries: r-release: hydroGOF_0.4-0.tgz, r-oldrel: hydroGOF_0.4-0.tgz
Old sources: hydroGOF archive

Reverse dependencies:

Reverse imports: hydroPSO, kwb.hantush, RSAlgaeR, stUPscales
Reverse suggests: groupdata2

Linking:

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