Metadata-Version: 2.1
Name: suftware
Version: 1.0.4
Summary: One-dimensional density estimation using Bayesian field theory.
License: MIT
Author: Justin B. Kinney
Author-email: jkinney@cshl.edu
Requires-Python: >=3.10
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Requires-Dist: matplotlib (>=3.3.0)
Requires-Dist: numpy (>=1.26.0)
Requires-Dist: numpydoc (>=0.8.0)
Requires-Dist: pandas (>=1.2.0)
Requires-Dist: scipy (>=1.5.0)
Requires-Dist: sphinx (>=7.0.0)
Requires-Dist: sphinx-rtd-theme (>=1.3.0)
Description-Content-Type: text/markdown

# SUFTware: Statistics Using Field Theory

SUFTware (Statistics Using Field Theory) provides a fast and lightweight Python implementation of Bayesian Field Theory algorithms for low-dimensional statistical inference. SUFTware currently supports the one-dimenstional density estimation algorithm DEFT. See the Documentation page for details on the SUFTware API.

**Installation** :
pip install suftware

Requirements (updated 2025-01-06, v1.0.3)
* python >=3.10
* numpy >=1.26.0
* scipy >=1.5.0
* pandas >=1.2.0
* matplotlib >=3.3.0
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Other resources
* Documentation: "http://suftware.readthedocs.org"
* Github: "https://github.com/jbkinney/suftware"
* PyPI: "https://pypi.python.org/pypi/suftware"


