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, ). 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.

This is the GitHub page for the HHG package for non parametric statistical tests of independence and equality of distributions (K-Sample tests).


For latest CRAN (stable build), run:


For lastest development version run:

devtools::install_github('barakbri/HHG', build_vignettes = TRUE)


Reference manual

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2.3.2 by Barak Brill, 10 days ago


Report a bug at https://github.com/barakbri/HHG/issues

Browse source code at https://github.com/cran/HHG

Authors: Barak Brill & Shachar Kaufman , based in part on an earlier implementation by Ruth Heller and Yair Heller.

Documentation:   PDF Manual  

GPL-3 license

Imports Rcpp

Suggests MASS, knitr

Linking to Rcpp

System requirements: C++11

See at CRAN