Metadata-Version: 1.1
Name: survivalstan
Version: 0.1.2.8
Summary: Library of Stan Models for Survival Analysis
Home-page: https://github.com/hammerlab/survivalstan
Author: Jacki Novik
Author-email: jackinovik@gmail.com
License: http://www.apache.org/licenses/LICENSE-2.0.html
Download-URL: https://github.com/hammerlab/survivalstan/tarball/0.1.2.8
Description: .. survivalstan documentation master file, created by
           sphinx-quickstart on Fri Jan  6 06:25:53 2017.
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        Survivalstan
        ============
        
        Survivalstan is a library of Survival Models written in `Stan <http://mc-stan.org>`_ 
        
        It also contains a number of utility functions helpful when doing survival analysis. 
        
        Typical usage:
            
        :: 
         
            import survivalstan
            # .. prep your data
            fit1 = survivalstan.fit_stan_survival_model(...)
            survivalstan.utils.plot_stan_summary([fit1], metric=’Rhat’) 
            survivalstan.utils.plot_coefs([fit1])
        
        Features
        --------
        
        - Variety of standard survival models
            - Weibull, Exponential, and Gamma parameterization
            - A variety of semi-parametric and non-parametric baseline hazards
            - Supports time-varying-coefficients
            - Estimate time-varying effects
            - Varying-effects by group
        - Extensible framework - bring your own Stan code, or edit the models provided
        - Uses `pandas <https://pandas.pydata.org>`_ data frames & `patsy <https://pypi.python.org/pypi/patsy>`_ formulas
        - Graphical posterior predictive checking
        - Plot posterior estimates of key parameters using `seaborn <https://pypi.python.org/pypi/seaborn>`_
        - Annotated posterior draws of parameter estimates, as `pandas <http://pandas.pydata.org>`_ dataframes
        - Supports caching via `stancache <http://github.com/jburos/stancache>`_ or `pystan-cache <https://github.com/paulkernfeld/pystan-cache>`_
        
        Installation
        ------------
        
        Install survivalstan via pip:
        
        ::
        
            pip install survivalstan
        
        Contribute
        ----------
        
        - Issue Tracker: http://github.com/hammerlab/survivalstan/issues
        - Source Code: http://github.com/survivalstan/survivalstan
        
        Support
        -------
        
        If you are having issues or questions, please let us know.
        
        Please submit an issue `github <http://github.com/hammerlab/survivalstan/issues>`_ or via `gitter <https://gitter.im/survivalstan>`_ 
        
        License
        -------
        
        The project is licensed under the Apache 2.0 license.
        
        
        Documentation
        -------------
        
        `Documentation http://jburos.github.io/survivalstan`_ is available online.
        
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Environment :: Console
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
