Metadata-Version: 1.1
Name: lifelines
Version: 0.14.2
Summary: Survival analysis in Python, including Kaplan Meier, Nelson Aalen and regression
Home-page: https://github.com/CamDavidsonPilon/lifelines
Author: Cameron Davidson-Pilon, Jonas Kalderstam
Author-email: cam.davidson.pilon@gmail.com
License: MIT
Description-Content-Type: UNKNOWN
Description: .. figure:: http://i.imgur.com/EOowdSD.png
           :alt: 
        
        |PyPI version| |Build Status| |Coverage Status| |Join the chat at
        https://gitter.im/python-lifelines/Lobby| |DOI|
        
        `What is survival analysis and why should I learn
        it? <http://lifelines.readthedocs.org/en/latest/Survival%20Analysis%20intro.html>`__
        Survival analysis was originally developed and applied heavily by the
        actuarial and medical community. Its purpose was to answer *why do
        events occur now versus later* under uncertainty (where *events* might
        refer to deaths, disease remission, etc.). This is great for researchers
        who are interested in measuring lifetimes: they can answer questions
        like *what factors might influence deaths?*
        
        But outside of medicine and actuarial science, there are many other
        interesting and exciting applications of this lesser-known technique,
        for example: - SaaS providers are interested in measuring customer
        lifetimes, or time to first behaviours - sociologists are interested in
        measuring political parties' lifetimes, or relationships, or marriages -
        analysing `Godwin's
        law <https://raw.githubusercontent.com/lukashalim/GODWIN/master/Kaplan-Meier-Godwin.png>`__
        in Reddit comments - A/B tests to determine how long it takes different
        groups to perform an action.
        
        *lifelines* is a pure Python implementation of the best parts of
        survival analysis. We'd love to hear if you are using *lifelines*,
        please leave an Issue and let us know your thoughts on the library.
        
        Installation:
        ~~~~~~~~~~~~~
        
        Dependencies:
        ^^^^^^^^^^^^^
        
        The usual Python data stack: NumPy, SciPy, Pandas (a modern version
        please). Matplotlib is optional (as of 0.6.0+).
        
        Installing
        ^^^^^^^^^^
        
        You can install *lifelines* using
        
        ::
        
               pip install lifelines
        
        Or getting the bleeding edge version with:
        
        ::
        
               pip install --upgrade --no-deps git+https://github.com/CamDavidsonPilon/lifelines.git
        
        from the command line.
        
        Installation Issues?
        ''''''''''''''''''''
        
        See the common `problems/solutions for installing
        lifelines <https://github.com/CamDavidsonPilon/lifelines/issues?utf8=%E2%9C%93&q=label%3Ainstallation+>`__.
        
        Running the tests
        ^^^^^^^^^^^^^^^^^
        
        You can optionally run the test suite after install with
        
        ::
        
            py.test
        
        lifelines Documentation and an intro to survival analysis
        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
        
        If you are new to survival analysis, wondering why it is useful, or are
        interested in *lifelines* examples and syntax, please check out the
        `Documentation and Tutorials
        page <http://lifelines.readthedocs.org/en/latest/index.html>`__
        
        Contacting
        ~~~~~~~~~~
        
        There is a `Gitter <https://gitter.im/python-lifelines/>`__ channel
        available. The main author, Cam Davidson-Pilon, is also available for
        contact on email and twitter.
        
        Citing lifelines
        ~~~~~~~~~~~~~~~~
        
        You can use this badge below to generate a DOI and reference text for
        the latest related version of lifelines:
        
        |DOI|
        
        .. figure:: http://i.imgur.com/QXW71zA.png
           :alt: 
        
        .. |PyPI version| image:: https://badge.fury.io/py/lifelines.svg
           :target: https://badge.fury.io/py/lifelines
        .. |Build Status| image:: https://travis-ci.org/CamDavidsonPilon/lifelines.svg?branch=master
           :target: https://travis-ci.org/CamDavidsonPilon/lifelines
        .. |Coverage Status| image:: https://coveralls.io/repos/github/CamDavidsonPilon/lifelines/badge.svg?branch=master
           :target: https://coveralls.io/github/CamDavidsonPilon/lifelines?branch=master
        .. |Join the chat at https://gitter.im/python-lifelines/Lobby| image:: https://badges.gitter.im/python-lifelines/Lobby.svg
           :target: https://gitter.im/python-lifelines/Lobby
        .. |DOI| image:: https://zenodo.org/badge/12420595.svg
           :target: https://zenodo.org/badge/latestdoi/12420595
        
Keywords: survival analysis statistics data analysis
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Topic :: Scientific/Engineering
