HHG: Heller-Heller-Gorfine Tests of Independence and Equality of Distributions

Heller-Heller-Gorfine ('HHG') tests are a set of powerful statistical tests of multivariate k-sample homogeneity and independence. For the univariate case, the package also offers implementations of the 'MinP DDP' and 'MinP ADP' tests, which are consistent against all continuous alternatives but are distribution-free, and are thus much faster to apply.

Version: 2.2
Depends: R (≥ 3.1.0)
Imports: Rcpp (≥ 0.12.9)
LinkingTo: Rcpp
Suggests: MASS, knitr
Published: 2017-10-18
Author: Barak Brill & Shachar Kaufman, based in part on an earlier implementation by Ruth Heller and Yair Heller.
Maintainer: Barak Brill <barakbri at mail.tau.ac.il>
BugReports: https://github.com/barakbri/HHG/issues
License: GPL-2
URL: https://github.com/barakbri/HHG
NeedsCompilation: yes
Materials: README
CRAN checks: HHG results


Reference manual: HHG.pdf
Vignettes: Vignette Title
Package source: HHG_2.2.tar.gz
Windows binaries: r-devel: HHG_2.2.zip, r-release: HHG_2.2.zip, r-oldrel: HHG_2.2.zip
OS X binaries: r-release: HHG_2.2.tgz, r-oldrel: HHG_2.2.tgz
Old sources: HHG archive


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