Metadata-Version: 1.2
Name: dcor
Version: 0.2
Summary: dcor: distance correlation and related E-statistics in Python.
Home-page: https://github.com/vnmabus/dcor
Author: Carlos Ramos Carreño
Author-email: vnmabus@gmail.com
License: MIT
Description-Content-Type: UNKNOWN
Description: E-statistics are functions of distances between statistical observations
        in metric spaces.
        
        Distance covariance and distance correlation are
        dependency measures between random vectors introduced in [SRB07]_ with
        a simple E-statistic estimator.
        
        This package offers functions for calculating several E-statistics
        such as:
        
        - Estimator of the energy distance [SR13]_.
        - Biased and unbiased estimators of distance covariance and
          distance correlation [SRB07]_.
        - Estimators of the partial distance covariance and partial
          distance covariance [SR14]_.
        
        It also provides tests based on these E-statistics:
        
        - Test of homogeneity based on the energy distance.
        - Test of independence based on distance covariance.
        
        References
        ----------
        .. [SR13] Gábor J. Székely and Maria L. Rizzo. Energy statistics: a class of
                   statistics based on distances. Journal of Statistical Planning and
                   Inference, 143(8):1249 – 1272, 2013.
                   URL:
                   http://www.sciencedirect.com/science/article/pii/S0378375813000633,
                   doi:10.1016/j.jspi.2013.03.018.
        .. [SR14]  Gábor J. Székely and Maria L. Rizzo. Partial distance correlation
                   with methods for dissimilarities. The Annals of Statistics,
                   42(6):2382–2412, 12 2014.
                   doi:10.1214/14-AOS1255.
        .. [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.
        
        
Keywords: distance correlation,distance covariance,energy distance,e-statistic,dependency measure,homogeneity
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, <4
