jasonzyx/aSPC: An Adaptive Sum of Powered Correlation Test (aSPC) to Test Global Association Between Two Groups of Variables

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 Multi-trait and Multi-SNP Associa- tions with GWAS and Sequencing Data. Genetics, 2016, 203(2): 715-731.

Getting started

Package details

AuthorZhiyuan (Jason) Xu and Wei Pan
MaintainerZhiyuan (Jason) Xu <[email protected]>
LicenseGPL-3
Version0.1.2
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("jasonzyx/aSPC")
jasonzyx/aSPC documentation built on May 17, 2017, 11:48 a.m.