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HHG (version 1.1)

Heller-Heller-Gorfine Tests of Independence

Description

Heller-Heller-Gorfine (HHG) tests are a set of statistical tests of independence between two random vectors of arbitrary dimensions. For the case of testing independence between random variables (rather than vectors), the package also offers implementations of the DDP and ADP tests which are consistent against all continuous alternatives but are distribution-free, and thus much faster to apply.

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Version

Install

install.packages('HHG')

Monthly Downloads

97

Version

1.1

License

GPL-2

Maintainer

Shachar Kaufman

Last Published

December 24th, 2013

Functions in HHG (1.1)

HHG-package

Heller-Heller-Gorfine Tests of Independence
hhg.example.datagen

A set of example data generators used to demonstrate the HHG test.
HHG

Heller-Heller-Gorfine Tests of Independence
hughes

Yeast gene expression data
XDP

A Class of Consistent Univariate Distribution-Free Tests of Independence