Metadata-Version: 2.1
Name: lifelines
Version: 0.24.14
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)
        [![Anaconda-Server Badge](https://anaconda.org/conda-forge/lifelines/badges/installer/conda.svg)](https://conda.anaconda.org/conda-forge)
        [![Build Status](https://travis-ci.org/CamDavidsonPilon/lifelines.svg?branch=master)](https://travis-ci.org/CamDavidsonPilon/lifelines)
        [![Coverage Status](https://coveralls.io/repos/github/CamDavidsonPilon/lifelines/badge.svg?branch=master)](https://coveralls.io/github/CamDavidsonPilon/lifelines?branch=master)
        [![Join the chat at https://gitter.im/python-lifelines/Lobby](https://badges.gitter.im/python-lifelines/Lobby.svg)](https://gitter.im/python-lifelines/Lobby)
        [![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 subscriber lifetimes, or time to some first action
        - 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
        - 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.
        
        
        ## Documentation and 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 read the [Documentation and Tutorials page](http://lifelines.readthedocs.org/en/latest/index.html)
        
        ## Contact
         - 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/.github/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)
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Scientific/Engineering
Requires-Python: >=3.6
Description-Content-Type: text/markdown
