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aSPC (version 0.1.2)

An Adaptive Sum of Powered Correlation Test (aSPC) for Global Association Between Two Random Vectors

Description

The aSPC test is designed to test global association between two groups of variables potentially with moderate to high dimension (e.g. in hundreds). The aSPC is particularly useful when the association signals between two groups of variables are sparse.

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Version

Install

install.packages('aSPC')

Monthly Downloads

26

Version

0.1.2

License

GPL-3

Maintainer

Zhiyuan Jason Xu

Last Published

April 27th, 2017

Functions in aSPC (0.1.2)

My_DCOR

my program to get distance correlation
aSPC

An adaptive sum of powered correlation test (aSPC)
aSPC_dcor2

An Adaptive Sum of Powered Correlation Test (aSPC) with dcor
dcor_list2

calculate the correlation matrix
dcor_mat

calculate the correlation matrix by dcor() in package energy
get_doublyCenterDist

my program to get doubly center distance matrix