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>.
| Version: |
1.0.1 |
| Imports: |
Rcpp (≥ 1.0.5) |
| LinkingTo: |
Rcpp |
| Suggests: |
TauStar, testthat |
| Published: |
2020-11-05 |
| Author: |
Chaim Even-Zohar [aut, cre] |
| Maintainer: |
Chaim Even-Zohar <chaim at ucdavis.edu> |
| License: |
GPL (≥ 3) |
| NeedsCompilation: |
yes |
| Materials: |
NEWS |
| CRAN checks: |
independence results |
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