Metadata-Version: 2.1
Name: bambi
Version: 0.4.0
Summary: BAyesian Model Building Interface in Python
Home-page: http://github.com/bambinos/bambi
Maintainer: Tal Yarkoni
Maintainer-email: tyarkoni@gmail.com
License: MIT
Download-URL: https://github.com/bambinos/bambi/archive/0.4.0.tar.gz
Description: # Bambi
        
        BAyesian Model-Building Interface in Python
        [![Build Status](https://travis-ci.org/bambinos/bambi.svg?branch=master)](https://travis-ci.org/bambinos/bambi)
        [![codecov](https://codecov.io/gh/bambinos/bambi/branch/master/graph/badge.svg?token=ZqH0KCLKAE)](https://codecov.io/gh/bambinos/bambi)
        [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/ambv/black)
        
        ## Overview
        
        Bambi is a high-level Bayesian model-building interface written in Python. It's built on top of the [PyMC3](https://github.com/pymc-devs/pymc3) probabilistic programming framework, and is designed to make it extremely easy to fit mixed-effects models common in social sciences settings using a Bayesian approach.
        
        ## Installation
        
        Bambi requires a working Python interpreter (3.7+). We recommend installing Python and key numerical libraries using the [Anaconda Distribution](https://www.anaconda.com/products/individual#Downloads), which has one-click installers available on all major platforms.
        
        Assuming a standard Python environment is installed on your machine (including pip), Bambi itself can be installed in one line using pip:
        
            pip install bambi
        
        Alternatively, if you want the bleeding edge version of the package you can install from GitHub:
        
            pip install git+https://github.com/bambinos/bambi.git
        
        ### Dependencies
        
        Bambi requires working versions of numpy, pandas, matplotlib, patsy, pymc3, and theano. Dependencies are listed in `requirements.txt`, and should all be installed by the Bambi installer; no further action should be required.
        
        ## Documentation
        
        The Bambi documentation can be found in the [official docs](https://bambinos.github.io/bambi/index.html)
        
        ## Citation
        
        If you use Bambi and want to cite it please use [![arXiv](https://img.shields.io/badge/arXiv-2012.10754-b31b1b.svg)](https://arxiv.org/abs/2012.10754)
        
        Here is the citation in BibTeX format
        
        ```
        @misc{capretto2020,
              title={Bambi: A simple interface for fitting Bayesian linear models in Python}, 
              author={Tomás Capretto and Camen Piho and Ravin Kumar and Jacob Westfall and Tal Yarkoni and Osvaldo A. Martin},
              year={2020},
              eprint={2012.10754},
              archivePrefix={arXiv},
              primaryClass={stat.CO}
        }
        ```
        
        ## Contributions
        
        Bambi is a community project and welcomes contributions. Additional information can be found in the [Contributing](https://github.com/bambinos/bambi/blob/master/CONTRIBUTING.md) Readme.
        
        For a list of contributors see the [GitHub contributor](https://github.com/bambinos/bambi/graphs/contributors) page
        
        ## Code of Conduct
        
        Bambi wishes to maintain a positive community. Additional details can be found in the [Code of Conduct](https://github.com/bambinos/bambi/blob/master/CODE_OF_CONDUCT.md)
        
        ## License
        
        [MIT License](https://github.com/bambinos/bambi/blob/master/LICENSE)
        
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