Metadata-Version: 2.1
Name: HydroErr
Version: 1.24
Summary: Goodness of fit metrics for use in comparison studies, specifically for use in the field of hydrology
Home-page: https://github.com/BYU-Hydroinformatics/HydroErr
Author: Wade Roberts
Author-email: waderoberts123@gmail.com
License: UNKNOWN
Description: [![Build Status](https://travis-ci.org/BYU-Hydroinformatics/HydroErr.svg?branch=master)](https://travis-ci.org/BYU-Hydroinformatics/HydroErr)
        [![codecov](https://codecov.io/gh/BYU-Hydroinformatics/HydroErr/branch/master/graph/badge.svg)](https://codecov.io/gh/BYU-Hydroinformatics/HydroErr)
        
        Goodness of fit metrics for use in comparison studies, specifically for use in the field of hydrology
        
        - **Documentation:** https://hydroerr.readthedocs.io/en/stable/
        - **Source:** https://github.com/BYU-Hydroinformatics/HydroErr
        - **Bug reports:** https://github.com/BYU-Hydroinformatics/HydroErr/issues
        
        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](https://img.shields.io/badge/powered%20by-BYU%20HydroInformatics-blue.svg)](http://worldwater.byu.edu/)
        
Keywords: hydrology,error,metrics,comparison,statistics,forecast,observed
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Description-Content-Type: text/markdown
