Metadata-Version: 2.0
Name: dcor
Version: 0.1.1
Summary: dcor: distance correlation and distance covariance in Python.
Home-page: https://github.com/vnmabus/dcor
Author: Carlos Ramos Carreño
Author-email: vnmabus@gmail.com
License: MIT
Description-Content-Type: UNKNOWN
Platform: any
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=2.7, >=3.5, <4
Requires-Dist: numpy
Requires-Dist: numba
Requires-Dist: scipy
Requires-Dist: setuptools

Distance covariance and distance correlation are
dependency measures between random vectors introduced in [SRB07]_.

This package offers functions for calculating several statistics
related with distance covariance and distance correlation, including
biased and unbiased estimators of both dependency measures.

.. rubric:: References

.. [SRB07] Gábor J. Székely, Maria L. Rizzo, and Nail K. Bakirov. Measuring and
           testing dependence by correlation of distances. The Annals of
           Statistics, 35(6):2769–2794, 12 2007.
           doi:10.1214/009053607000000505.


