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

Heller-Heller-Gorfine tests are a set of powerful statistical tests of multivariate k-sample homogeneity and independence (Heller et. al., 2013, <doi:10.1093/biomet/ass070>). For the univariate case, the package also offers implementations of the 'MinP DDP' and 'MinP ADP' tests by Heller et. al. (2016), which are consistent against all continuous alternatives but are distribution-free, and are thus much faster to apply.

Version: 2.3.4
Depends: R (≥ 3.1.0)
Imports: Rcpp (≥ 0.12.9), rmarkdown
LinkingTo: Rcpp
Suggests: MASS, knitr
Published: 2021-05-15
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-3
URL: https://github.com/barakbri/HHG
NeedsCompilation: yes
SystemRequirements: C++11
Materials: README
CRAN checks: HHG results


Reference manual: HHG.pdf
Vignettes: The HHG Package


Package source: HHG_2.3.4.tar.gz
Windows binaries: r-devel: HHG_2.3.4.zip, r-release: HHG_2.3.4.zip, r-oldrel: HHG_2.3.4.zip
macOS binaries: r-release (arm64): HHG_2.3.4.tgz, r-oldrel (arm64): HHG_2.3.4.tgz, r-release (x86_64): HHG_2.3.4.tgz, r-oldrel (x86_64): HHG_2.3.4.tgz
Old sources: HHG archive

Reverse dependencies:

Reverse suggests: perfectphyloR


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