HHG swMATH ID: 16725 Software Authors: Barak Brill; Shachar Kaufman Description: R package 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. Homepage: https://cran.r-project.org/web/packages/HHG/index.html Source Code: https://github.com/cran/HHG Dependencies: R Related Software: energy; R; Directional; clusterGeneration; dHSIC; ape; NPCirc; FactoMineR; Kernlab; EDMeasure; igraph; circular; Scikit; Hotelling; treespace; kpcalg; NetworkDistance; CovTools; Ball; permDep Cited in: 6 Publications all top 5 Cited by 20 Authors 1 1 1 Betensky, Rebecca A. 1 Brill, Barak 1 Chiou, Sy Han 1 Cui, Hengjian 1 Gorfine, Malka 1 Harvard Aging Brain Study 1 Heller, Ruth 1 Heller, Yair 1 Kaufman, Shachar 1 Li, Hongzhe 1 Mitzenmacher, Michael 1 Mormino, Elizabeth 1 Qian, Jing 1 Reshef, David N. 1 Reshef, Yakir A. 1 Sabeti, Pardis C. 1 Zhao, Sihai Dave 1 Zhong, Wei Cited in 5 Serials 2 Computational Statistics and Data Analysis 1 Journal of the American Statistical Association 1 Journal of Multivariate Analysis 1 Journal of Machine Learning Research (JMLR) 1 The Annals of Applied Statistics Cited in 1 Field 6 Statistics (62-XX) Citations by Year