independence: Fast Rank-Based Independence Testing

Performs three ranking-based nonparametric tests for the independence of two continuous variables: (1) the classical Hoeffding's D test; (2) a refined variant of it, named R; (3) the Bergsma-Dassios T* sign covariance. The first test is consistent assuming an absolutely continuous bivariate distribution, i.e., the population coefficient D=0 iff the variables are independent. The latter two are consistent under no restriction on the distribution. All three statistics are computed in time O(n log n) given n iid paired samples. The computation of R and T* uses a new algorithm, following work of Even-Zohar and Leng (2019), see <arXiv:2010.09712>, <arXiv:1911.01414>.

Getting started

Package details

AuthorChaim Even-Zohar [aut, cre]
MaintainerChaim Even-Zohar <chaim@ucdavis.edu>
LicenseGPL (>= 3)
Version1.0.1
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("independence")

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independence documentation built on Jan. 14, 2021, 5:20 a.m.