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A package for performing Bayesian analyses.

Project description

DOI DOI coverage Code style: black

bayes-toolbox

bayes-toolbox (aka, Bayesian Statistics Toolbox [BST]) is a Python package for running sophisticated Bayesian analyses in a simple, straight forward manner.

Documentation

The documentation for bayes-toolbox is hosted here.

Installation

PyPI version

The recommended method of installing bayes-toolbox is with pip:

pip install bayes_toolbox

See the installation instructions in the documentation for more detailed information.

Citing bayes-toolbox

If you use bayes-toolbox in your work, please cite our Journal of Open Source Software (JOSS) article:

APA format:
Kim, H. E. (2023). bayes-toolbox: A Python package for Bayesian statistics. Journal of Open Source Software, 8(90), 5526. https://doi.org/10.21105/joss.05526

BibTeX format:

@article{Kim_bayes-toolbox_A_Python_2023,
author = {Kim, Hyosub E.},
doi = {10.21105/joss.05526},
journal = {Journal of Open Source Software},
month = oct,
number = {90},
pages = {5526},
title = {{bayes-toolbox: A Python package for Bayesian statistics}},
url = {https://joss.theoj.org/papers/10.21105/joss.05526},
volume = {8},
year = {2023}
}

License

This work is distributed for free under a MIT license.

Acknowledgments

Thank you to the following people for generously sharing their work and knowledge:

Contributors

See the CONTRIBUTORS.md file for a regularly updated list of contributors.

Project details


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