Metadata-Version: 2.1
Name: lifelines
Version: 0.22.1
Summary: Survival analysis in Python, including Kaplan Meier, Nelson Aalen and regression
Home-page: https://github.com/CamDavidsonPilon/lifelines
Author: Cameron Davidson-Pilon
Author-email: cam.davidson.pilon@gmail.com
License: MIT
Description: ![](http://i.imgur.com/EOowdSD.png)
        
        [![PyPI version](https://badge.fury.io/py/lifelines.svg)](https://badge.fury.io/py/lifelines)
        [![Build Status](https://travis-ci.org/CamDavidsonPilon/lifelines.svg?branch=master)](https://travis-ci.org/CamDavidsonPilon/lifelines)
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        [![DOI](https://zenodo.org/badge/12420595.svg)](https://zenodo.org/badge/latestdoi/12420595)
        
        
        [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 survival analysis. For example:
        - SaaS providers are interested in measuring customer lifetimes, or time to first behaviors
        - inventory stock out is a censoring event for true "demand" of a good.
        - sociologists are interested in measuring political parties' lifetimes, or relationships, or marriages
        - analyzing [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:
        
        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+).
        
        
        ## *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, API, and syntax, please check out the [Documentation and Tutorials page](http://lifelines.readthedocs.org/en/latest/index.html)
        
        Example:
        ```python
        from lifelines import KaplanMeierFitter
        
        durations = [11, 74, 71, 76, 28, 92, 89, 48, 90, 39, 63, 36, 54, 64, 34, 73, 94, 37, 56, 76]
        event_observed = [True, True, False, True, True, True, True, False, False, True, True,
                          True, True, True, True, True, False, True, False, True]
        
        kmf = KaplanMeierFitter()
        kmf.fit(durations, event_observed)
        kmf.plot()
        ```
        
        <img src="https://imgur.com/d4Gi5J0.png" width="600">
        
        ## Contacting & troubleshooting
         - There is a [Gitter](https://gitter.im/python-lifelines/) channel available.
         - Some users have posted common questions at [stats.stackexchange.com](https://stats.stackexchange.com/search?tab=votes&q=%22lifelines%22%20is%3aquestion)
         - creating an issue in the [Github repository](https://github.com/camdavidsonpilon/lifelines).
        
        ## Roadmap
        You can find the roadmap for lifelines [here](https://www.notion.so/camdp/6e2965207f564eb2a3e48b5937873c14?v=47edda47ab774ca2ac7532bb0c750559).
        
        ## Development
        
        See our [Contributing](https://github.com/CamDavidsonPilon/lifelines/blob/master/CONTRIBUTING.md) guidelines.
        
        -------------------------------------------------------------------------------
        
        ## Citing lifelines
        
        You can use this badge below to generate a DOI and reference text for the latest related version of lifelines:
        
         [![DOI](https://zenodo.org/badge/12420595.svg)](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 :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Scientific/Engineering
Requires-Python: >=3.5
Description-Content-Type: text/markdown
