A fork of SUFTware: Statistics Using Field Theory

SUFTware (Statistics Using Field Theory) is Python implementation of Bayesian field theory algorithms for low-dimensional statistical inference. It currently uses the one-dimensional density estimation algorithm DEFT.

The previous version of this software had been written by Wei-Chia Chen, Ammar Tareen and Justin B. Kinney.

This version of the Suftware library package has been created as an attempt to fix some bugs and limitation of the original. The structure of the project was changed and streamlined, the deprecated time.clock() function was removed.

Installation

There should be possible to use pip:

pip install suftware-refactored

Nevertheless it not works yet.

Requirements

• decent Python 3, preferable >= 3.8
• numpy
• scipy
• matplotlib
• pandas

Documentation

• Documentation for the original Suftware

  • Read The Docs: http://suftware.readthedocs.org
  • GitHub: https://github.com/jbkinney/suftware
  • PyPI: https://pypi.python.org/pypi/suftware

• Documentation for this fork

  The separate documentation for this fork has not been created.