HHG: Heller-Heller-Gorfine Tests of Independence

Heller-Heller-Gorfine (HHG) tests are a set of powerful statistical tests of independence between two random vectors of arbitrary dimensions. For the case of testing independence between random variables (rather than vectors), the package also offers implementations of the DDP and ADP tests, which are consistent against all continuous alternatives but are distribution-free and thus much faster to apply.

Version: 1.4
Suggests: MASS
Published: 2014-05-06
Author: Shachar Kaufman, based in part on an earlier implementation by Ruth Heller and Yair Heller.
Maintainer: Shachar Kaufman <shachark at post.tau.ac.il>
License: GPL-2
NeedsCompilation: yes
CRAN checks: HHG results


Reference manual: HHG.pdf
Package source: HHG_1.4.tar.gz
Windows binaries: r-devel: HHG_1.4.zip, r-release: HHG_1.4.zip, r-oldrel: HHG_1.4.zip
OS X Snow Leopard binaries: r-release: HHG_1.4.tgz, r-oldrel: HHG_1.4.tgz
OS X Mavericks binaries: r-release: HHG_1.4.tgz
Old sources: HHG archive