Metadata-Version: 1.1
Name: lifelines
Version: 0.9.4
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: lifelines
        =========
        
        `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
        measure political parties lifetimes, or relationships, or marriages -
        Businesses are interested in what variables affect lifetime value
        
        *lifelines* is a pure Python implementation of the best parts of
        survival analysis. We'd love to hear if you are using *lifelines*,
        please ping me at [@cmrn\_dp](https://twitter.com/Cmrn\_DP) and let me
        know your thoughts on the library.
        
        Installation:
        -------------
        
        Dependencies:
        ^^^^^^^^^^^^^
        
        The usual Python data stack: Numpy, Scipy, Pandas (a modern version
        please), Matplotlib
        
        Installing
        ^^^^^^^^^^
        
        You can install *lifelines* using
        
        ::
        
               pip install lifelines
        
        Or getting the bleeding edge version with:
        
        ::
        
               pip install git+https://github.com/CamDavidsonPilon/lifelines.git
        
        or upgrade with
        
        ::
        
               pip install --upgrade git+https://github.com/CamDavidsonPilon/lifelines.git
        
        from the command line.
        
        *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)
        
        
        License
        -------
        
        The Feedback MIT License (FMIT)
        
        Copyright (c) 2013, Cameron Davidson-Pilon
        
        Permission is hereby granted, free of charge, to any person obtaining a
        copy of this software and associated documentation files (the
        "Software"), to deal in the Software without restriction, including
        without limitation the rights to use, copy, modify, merge, publish,
        distribute, sublicense, and/or sell copies of the Software, and to
        permit persons to whom the Software is furnished to do so, subject to
        the following conditions:
        
        1. The above copyright notice and this permission notice shall be
           included in all copies or substantial portions of the Software.
        
        2. Person obtaining a copy must return feedback to the authors.
        
        THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
        OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
        MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
        IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY
        CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,
        TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE
        SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
        
        *lifelines* logo designed by Pulse designed by TNS from the Noun Project
        
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
