Skip to content
master
Switch branches/tags
Code

Latest commit

 

Git stats

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Build Status codecov

Goodness of fit metrics for use in comparison studies, specifically for use in the field of hydrology

HydroErr provides:

  • A library of over 70 error metrics to measure hydrologic skill
  • Treatment of NaN, Inf, negative, and zero values.
  • Scholarly journal sources and code examples for metric methods in the documentation.

Publications:

  • Roberts, W., Williams, G., Jackson, E., Nelson, E., Ames, D., 2018. Hydrostats: A Python Package for Characterizing Errors between Observed and Predicted Time Series. Hydrology 5(4) 66, doi:10.3390/hydrology5040066

We would request that if you use this package that you please cite the above paper. The journal paper is open access and can be found at https://doi.org/10.3390/hydrology5040066. BibTeX, EndNote, and RIS files can be downloaded at the journal site.

Powered by BYU Hydroinformatics

About

Goodness of Fit metrics for use in comparison studies, specifically in the field of hydrology.

Resources

License

Packages

No packages published

Languages