Metadata-Version: 2.1
Name: HydroErr
Version: 1.22
Summary: Goodness of fit metrics for use in comparison studies, specifically for use in the field of hydrology
Home-page: https://github.com/waderoberts123/HydroErr
Author: Wade Roberts
Author-email: waderoberts123@gmail.com
License: UNKNOWN
Download-URL: https://github.com/waderoberts123/Hydrostats/archive/1.22.tar.gz
Description: [![Build Status](https://travis-ci.org/waderoberts123/HydroErr.svg?branch=master)](https://travis-ci.org/waderoberts123/HydroErr)
        [![codecov](https://codecov.io/gh/waderoberts123/HydroErr/branch/master/graph/badge.svg)](https://codecov.io/gh/waderoberts123/HydroErr)
        
        Goodness of fit metrics for use in comparison studies, specifically for use in the field of hydrology
        
        - **Documentation:** https://waderoberts123.github.io/HydroErr/
        - **Source:** https://github.com/waderoberts123/HydroErr
        - **Bug reports:** https://github.com/waderoberts123/HydroErr/issues
        
        HydroErr provides:
        
        - A library of over 60 error metrics to measure hydrologic skill
        - Treatment of NaN, Inf, negative, and zero values.
        - Scholarly journal sources and use case examples in the documentation.
        
        [![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
