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        "author": "Abraham Nunes",
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            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3.5",
            "Topic :: Scientific/Engineering",
            "Topic :: Scientific/Engineering :: Artificial Intelligence",
            "Topic :: Scientific/Engineering :: Medical Science Apps."
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        "description": ".. -*- mode: rst -*-\n\nfitr |Build|_ |Documentation|_ |Codecov|_ |Health|_ |DOI|_\n==========================================================\n\n.. |Build| image:: https://travis-ci.org/ComputationalPsychiatry/fitr.svg?branch=master\n.. _Build: https://travis-ci.org/ComputationalPsychiatry/fitr\n\n.. |Documentation| image:: https://readthedocs.com/projects/computationalpsychiatry-fitr/badge/?version=latest\n.. _Documentation: https://computationalpsychiatry-fitr.readthedocs-hosted.com/en/latest/?badge=latest\n\n.. |Codecov| image:: https://codecov.io/gh/ComputationalPsychiatry/fitr/branch/master/graphs/badge.svg\n.. _Codecov: https://codecov.io/gh/ComputationalPsychiatry/fitr/branch/master\n\n.. |Health| image:: https://landscape.io/github/ComputationalPsychiatry/fitr/master/landscape.svg?style=flat\n.. _Health: https://landscape.io/github/ComputationalPsychiatry/fitr/master\n\n.. |DOI| image:: https://zenodo.org/badge/82499710.svg\n.. _DOI: https://zenodo.org/badge/latestdoi/82499710\n\nPython implementation of package to fit reinforcement learning models to\nbehavioural data\n\nInstallation\n------------\n\nThe current PyPI release of Fitr can be installed as follows::\n\n    pip install fitr\n\nIf you want the latest version on the GitHub master branch, install as follows::\n\n    pip install git+https://github.com/ComputationalPsychiatry/fitr.git\n\nTutorials\n---------\n\nTutorials (Jupyter Notebooks) can be found in the examples folder. They include\n\n1. `Introductory tutorial (EM and Bayesian Model Selection) <https://github.com/ComputationalPsychiatry/fitr/blob/master/examples/intro-tutorial.ipynb>`_\n2. `Fitting a Model with MCMC <https://github.com/ComputationalPsychiatry/fitr/blob/master/examples/Fitting%20a%20Model%20with%20MCMC.ipynb>`_\n3. `Use MCMC with your own Stan Code <https://github.com/ComputationalPsychiatry/fitr/blob/master/examples/Use%20MCMC%20with%20your%20own%20Stan%20Code.ipynb>`_\n4. `Using Multiple Model-Fitting Routines for Same Model <https://github.com/ComputationalPsychiatry/fitr/blob/master/examples/Using%20Multiple%20Methods%20to%20fit%20Models.ipynb>`_\n\nHow to Cite\n-----------\n\nIf you use Fitr in your work, we would very much appreciate the citation, which can be done as follows:\n\n- Abraham Nunes, Alexander Rudiuk, & Thomas Trappenberg. (2017). Fitr: A Toolbox for Computational Psychiatry Research. Zenodo. http://doi.org/10.5281/zenodo.439989",
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        "keywords": "reinforcement learning,computational psychiatry,python,model fitting",
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