A python package for solving bayesian regression models through a Monte Carlo Markov chain sampling
Project description
Bayesian Monte Carlo Markov Chain Regression
baypy is a python package for solving bayesian regression models through a Monte Carlo Markov chain sampling.
Installation
The recommended installation is through pip
:
pip install baypy
Usage Examples
See usage examples.
Dependencies
- matplotlib >= 3.7.2
Creates static, animated, and interactive visualizations in Python. - numpy >= 1.25.2
Adds support for large, multi-dimensional arrays, matrices and high-level mathematical functions to operate on these arrays. - pandas >= 2.0.3
Provides fast, flexible, and expressive data structures designed to make working with "relational" or "labeled" data both easy and intuitive. - scipy >= 1.11.1
Includes modules for statistics, optimization, integration, linear algebra, Fourier transforms, signal and image processing, ODE solvers, and more.
Python versions
baypy runs for python version 3.9+.
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
License
Project details
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