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

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.

Version:	0.1.2
Imports:	mvtnorm, energy, stats
Published:	2017-04-27
Author:	Zhiyuan (Jason) Xu and Wei Pan
Maintainer:	Zhiyuan (Jason) Xu <xuxx0284 at umn.edu>
License:	GPL-3
NeedsCompilation:	no
CRAN checks:	aSPC results

Documentation:

Reference manual:

aSPC.pdf

Downloads:

Package source:	aSPC_0.1.2.tar.gz
Windows binaries:	r-devel: aSPC_0.1.2.zip, r-release: aSPC_0.1.2.zip, r-oldrel: aSPC_0.1.2.zip
macOS binaries:	r-release (arm64): aSPC_0.1.2.tgz, r-oldrel (arm64): aSPC_0.1.2.tgz, r-release (x86_64): aSPC_0.1.2.tgz, r-oldrel (x86_64): aSPC_0.1.2.tgz

Linking:

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