The aSPC test designed to test global association between two groups of variables potentially with high dimension (in hundreds or few thousands), and aSPC is particularlly useful when the association signal between two groups of variables is sparse. References: 1) Xu Z., Pan W. An adaptive and powerful test for two groups of variables with high dimension. 2016. To be submitted. 2) Kim J, Zhang Y, Pan W. Powerful and Adaptive Testing for Multitrait and MultiSNP Associa tions with GWAS and Sequencing Data. Genetics, 2016, 203(2): 715731.
Package details 


Author  Zhiyuan (Jason) Xu and Wei Pan 
Maintainer  Zhiyuan (Jason) Xu <xuxx0284@umn.edu> 
License  GPL3 
Version  0.1.2 
Package repository  View on GitHub 
Installation 
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