Metadata-Version: 1.1
Name: pygmm
Version: 0.6.1
Summary: Ground motion models implemented in Python.
Home-page: https://github.com/arkottke/pygmm
Author: Albert Kottke
Author-email: albert.kottke@gmail.com
License: MIT
Description: pyGMM
        =====
        
        |PyPi Cheese Shop| |Build Status| |Code Quality| |Test Coverage| |License| |DOI|
        
        Ground motion models implemented in Python.
        
        I have recently learned that additional ground motion models have been implemented through GEM's OpenQuake Hazardlib_, which I recommend checking out.
        
        .. _Hazardlib: https://github.com/gem/oq-hazardlib
        
        Features
        --------
        
        Models currently supported:
        
        * Akkar, Sandikkaya, & Bommer (2014) with unit tests
        
        * Atkinson & Boore (2006)
        
        * Abrahamson, Silva, & Kamai (2014) with unit tests
        
        * Abrahamson, Gregor, & Addo (2016) with unit tests
        
        * Boore, Stewart, Seyhan, & Atkinson (2014) with unit tests
        
        * Campbell (2003)
        
        * Campbell & Bozorgnia (2014) with unit tests
        
        * Chiou & Youngs (2014) with unit tests
        
        * Derras, Bard & Cotton (2013) with unit tests
        
        * Idriss (2014) with unit tests
        
        * Pezeshk, Zandieh, & Tavakoli (2001)
        
        * Tavakoli & Pezeshk (2005)
        
        Conditional spectra models:
        
        * Baker & Jayaram (2008) with unit tests
        
        * Kishida (2017) with unit tests
        
        Unit tests means that each test cases are used to test the implemention of
        the model.
        
        Citation
        --------
        
        Please cite this software using the DOI_.
        
        .. _DOI: https://zenodo.org/badge/latestdoi/53176693
        
        
        .. |PyPi Cheese Shop| image:: https://img.shields.io/pypi/v/pygmm.svg
           :target: https://img.shields.io/pypi/v/pygmm.svg
        .. |Build Status| image:: https://travis-ci.com/arkottke/pygmm.svg?branch=master
           :target: https://travis-ci.com/arkottke/pygmm
        .. |Code Quality| image:: https://api.codacy.com/project/badge/Grade/abc9878c890143c8b590e6f3602056b7
           :target: https://www.codacy.com/manual/arkottke/pygmm
        .. |Test Coverage| image:: https://api.codacy.com/project/badge/Coverage/abc9878c890143c8b590e6f3602056b7
           :target: https://www.codacy.com/manual/arkottke/pygmm
        .. |License| image:: https://img.shields.io/badge/license-MIT-blue.svg
        .. |DOI| image:: https://zenodo.org/badge/53176693.svg
           :target: https://zenodo.org/badge/latestdoi/53176693
        
        
        History
        =======
        
        0.6.1 (2020-06-03)
        ------------------
        - Added Coppersmith & Bommer (2014) model for Hanford 
        - Factored tests
        
        0.6.0 (2019-08-12)
        ------------------
        - Added Abrahamson, Gregor, Addo (2014)
        - Added Abrahamson & Gulerce (2011)
        - Added conditional mean spectra models.
        - Added Scenario objects.
        - Added typing for all classes.
        
        0.4.0 (2016-04-08)
        ------------------
        
        -  Added Hermkes et al. (2014).
        -  Improved documentation.
        -  Added Baker & Jayaram (2008), Kishida (2017)
        
        .. _section-1:
        
        0.3.2 (2016-03-30)
        ------------------
        
        -  Nothing changed yet.
        
        .. _section-2:
        
        0.3.1 (2016-03-30)
        ------------------
        
        -  First release on PyPI.
        
Keywords: pygmm
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering
Classifier: Intended Audience :: Science/Research
