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Python library for solving bayesian regression models through a Monte Carlo Markov chain sampling

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Bayesian Monte Carlo Markov Chain Regression

baypy is a python package for solving bayesian regression models through a Monte Carlo Markov chain sampling.

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Contributing

The baypy project welcomes your expertise and enthusiasm! All contributions, bug reports, bug fixes, documentation improvements, enhancements and ideas are welcome. Writing code isn’t the only way to contribute to baypy. You can also:

  • develop tutorials, presentations and other educational materials

  • maintain and improve the documentation,

  • help with outreach and onboard new contributors

Have a look at the contributing guide. If you are new to contributing to open source, this guide helps explain why, what, and how to successfully get involved.

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baypy-1.4.1.tar.gz (57.9 kB view hashes)

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baypy-1.4.1-py3-none-any.whl (52.7 kB view hashes)

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