_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
python-dcor 0.6
Propagated dependencies: python-joblib@1.5.1 python-numba@0.61.0 python-numpy@1.26.4 python-scipy@1.12.0
Channel: guix
Location: gnu/packages/statistics.scm (gnu packages statistics)
Home page: https://dcor.readthedocs.io/
Licenses: Expat
Synopsis: Distance correlation and related E-statistics in Python
Description:

dcor is distance correlation and energy statistics in Python.

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]

Total results: 1