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 |
Reference manual: | aSPC.pdf |
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: aSPC_0.1.2.tgz, r-oldrel: aSPC_0.1.2.tgz |
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