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        "author": "Artem Mavrin",
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            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7"
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        "description": "=======\nSurvive\n=======\n\n---------------------------\nSurvival Analysis in Python\n---------------------------\n\n.. image:: https://img.shields.io/pypi/pyversions/survive.svg\n    :target: https://pypi.org/project/survive/\n    :alt: Python Version\n\n.. image:: https://img.shields.io/pypi/v/survive.svg\n    :target: https://pypi.org/project/survive/\n    :alt: PyPI Package Version\n\n.. image:: https://readthedocs.org/projects/survive-python/badge/?version=latest\n    :target: https://survive-python.readthedocs.io/?badge=latest\n    :alt: Documentation Status\n\n.. image:: https://img.shields.io/github/license/artemmavrin/survive.svg\n    :target: https://github.com/artemmavrin/survive/blob/master/LICENSE\n    :alt: GitHub License\n\nSurvive is a Python 3 package built on top of `NumPy <http://www.numpy.org>`__\nand `pandas <https://pandas.pydata.org>`__ that provides statistical tools for\nthe analysis of survival, lifetime, and event data.\n\nWebsite: https://survive-python.readthedocs.io\n\n\nInstallation\n~~~~~~~~~~~~\n\nThe latest version of Survive can be installed directly after cloning from\n`GitHub <https://github.com/artemmavrin/survive>`__.\n\n.. code-block :: shell\n\n  git clone https://github.com/artemmavrin/survive.git\n  cd survive\n  make install\n\nMoreover, Survive is on the\n`Python Package Index (PyPI) <https://pypi.org/project/survive/>`__, so a recent\nversion of it can be installed with the `pip <https://pip.pypa.io/en/stable/>`__\ntool.\n\n.. code-block :: shell\n\n  python -m pip install survive\n\n\nDependencies\n~~~~~~~~~~~~\n\nSurvive relies on the following scientific computing packages.\n\n* `NumPy <http://www.numpy.org>`__\n* `pandas <https://pandas.pydata.org>`__\n* `SciPy <https://www.scipy.org>`__\n* `Matplotlib <https://matplotlib.org>`__\n\n\nCase Studies\n~~~~~~~~~~~~\n\n`Leukemia remission times <https://survive-python.readthedocs.io/examples/Leukemia_Remission_Time_Dataset.html>`__\n    A small dataset (42 total observations) separated into two groups with heavy\n    right-censoring in one and none in the other.\n\n`Channing House data <https://survive-python.readthedocs.io/examples/Channing_House_Dataset.html>`__\n    A slightly larger dataset (462 total observations) separated into two groups\n    with right-censoring and left truncation in both.\n\n\nAPI Reference\n~~~~~~~~~~~~~\n\nThe complete API Reference for Survive is available on\n`Read the Docs <https://survive-python.readthedocs.io/api.html>`__.\n\n\n",
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