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.
|Depends:||R (≥ 3.1.0)|
|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>|
|CRAN checks:||HHG results|
|Windows binaries:||r-devel: HHG_2.0.zip, r-release: HHG_2.0.zip, r-oldrel: HHG_1.5.1.zip|
|OS X Mavericks binaries:||r-release: HHG_1.5.1.tgz, r-oldrel: HHG_1.5.1.tgz|
|Old sources:||HHG archive|
Please use the canonical form https://CRAN.R-project.org/package=HHG to link to this page.