Metadata-Version: 2.0
Name: suftware
Version: 0.10
Summary: Statistics Using Field Theory
Home-page: http://github.com/jbkinney/suftware
Author: Wei-Chia Chen, Ammar Tareen, Justin B. Kinney
Author-email: jkinney@cshl.edu
License: MIT
Keywords: density estimation
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Scientific/Engineering :: Mathematics
Requires-Dist: scipy (>=1.0.0)
Requires-Dist: numpy (>=1.10.1)
Requires-Dist: matplotlib (>=2.0.0)

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

- Python >= 3.6.2 or Python = 2.7.10
- numpy >= 1.10.1
- scipy >= 1.0.0
- matplotlib >= 2.0.0 

|

- Documentation: "http://suftware.readthedocs.org"
- Github: "https://github.com/jbkinney/suftware"
- PyPI: "https://pypi.python.org/pypi/suftware"

