baypy 1.0.0

A python package for solving bayesian regression models through a Monte Carlo Markov chain sampling

Bayesian Monte Carlo Markov Chain Regression

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

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

All contributions, bug reports, bug fixes, documentation improvements, enhancements and ideas are welcome.

License

GNU General Public License v3.0