Metadata-Version: 2.1
Name: baypy
Version: 1.0.3
Summary: A python package for solving bayesian regression models through a Monte Carlo Markov chain sampling
Home-page: https://github.com/AndreaBlengino/baypy
Author: Andrea Blengino
Author-email: ing.andrea.blengino@gmail.com
License: GNU GPL3
Project-URL: Source, https://github.com/AndreaBlengino/baypy
Project-URL: Tracker, https://github.com/AndreaBlengino/baypy/issues
Description: # Bayesian Monte Carlo Markov Chain Regression
        
        [![PyPi](https://img.shields.io/pypi/v/baypy)](https://pypi.org/project/baypy/)
        [![PyPi](https://img.shields.io/pypi/pyversions/baypy.svg)](https://pypi.org/project/baypy/)
        [![License: GPL v3](https://img.shields.io/badge/License-GPLv3-blue.svg)](https://github.com/AndreaBlengino/baypy/blob/master/LICENSE)
        
        [![Tests](https://github.com/AndreaBlengino/baypy/actions/workflows/tests.yml/badge.svg?branch=master)](https://github.com/AndreaBlengino/baypy/actions/workflows/tests.yml)
        [![codecov](https://codecov.io/gh/AndreaBlengino/baypy/graph/badge.svg?token=T7FMO9ACJW)](https://codecov.io/gh/AndreaBlengino/baypy)
        
        **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](https://github.com/AndreaBlengino/baypy/tree/master/examples).
        
        ## Dependencies
        
        - [matplotlib](https://matplotlib.org) >= 3.7.2  
          Creates static, animated, and interactive visualizations in Python.
        - [numpy](https://numpy.org) >= 1.25.2  
          Adds support for large, multi-dimensional arrays, matrices and 
          high-level mathematical functions to operate on these arrays.
        - [pandas](https://pandas.pydata.org) >= 2.0.3  
          Provides fast, flexible, and expressive data structures designed to 
          make working with "relational" or "labeled" data both easy and 
          intuitive. 
        - [scipy](https://scipy.org) >= 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](https://github.com/AndreaBlengino/baypy/blob/master/.github/CONTRIBUTING.md)
        
        ## License
        
        [GNU General Public License v3.0](https://github.com/AndreaBlengino/baypy/blob/master/LICENSE)
        
Platform: UNKNOWN
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Manufacturing
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Mathematics
Requires-Python: >=3.9, <3.12
Description-Content-Type: text/markdown
Provides-Extra: dev
