Metadata-Version: 1.1
Name: spotpy
Version: 1.2.4
Summary: A Statistical Parameter Optimization Tool
Home-page: http://www.uni-giessen.de/cms/faculties/f09/institutes/ilr/hydro/download/spotpy
Author: Tobias Houska, Philipp Kraft, Alejandro Chamorro-Chavez and Lutz Breuer
Author-email: tobias.houska@umwelt.uni-giessen.de
License: MIT
Download-URL: svn://fb09-pasig.umwelt.uni-giessen.de/spotpy/trunk/
Description: 
                    This package enables to use of powerful uncertainty, calibration and sensitivity analysis techniques in Python.
                    If you are using SPOTPY please cite the following paper:
        
                    Houska, T., Kraft, P., Chamorro-Chavez, A. and Breuer, L.: SPOTting Model Parameters Using a Ready-Made Python Package, PLoS ONE, 10(12), e0145180, doi:10.1371/journal.pone.0145180, 2015.
        
                    
Keywords: Monte Carlo,MCMC,MLE,SCE-UA,Simulated Annealing,DE-MCz,ROPE,Uncertainty,Calibration,Model
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.6
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.2
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Topic :: Software Development :: Libraries :: Python Modules
