dcor_mat

df1, 

df2, 

calculate the correlation matrix by dcor() in package energy

internal

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.

dcor_mat: calculate the correlation matrix by dcor() in package energy

Description

Usage

Arguments

Value