c(person("Karthik", "Ram", role="aut",
email="karthik.ram@gmail.com", comment=c(ORCID = "0000-0002-0233-1757")),
person("Karl", "Broman", rol=c("aut","cre"),
email="broman@wisc.edu", comment=c(ORCID = "0000-0002-4914-6671")))

c(person("Karthik", "Ram", role="aut",
email="karthik.ram@gmail.com", comment=c(ORCID = "0000-0002-0233-1757")),
person("Karl", "Broman", role=c("aut","cre"),
email="broman@wisc.edu", comment=c(ORCID = "0000-0002-4914-6671")))
An interface to the API for 'arXiv',
a repository of electronic preprints for
computer science, mathematics, physics, quantitative biology,
quantitative finance, and statistics.

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.

R codes for the (adaptive) Sum of Powered Score ('SPU' and 'aSPU') tests, inverse variance weighted Sum of Powered score ('SPUw' and 'aSPUw') tests and gene-based and some pathway based association tests (Pathway based Sum of Powered Score tests ('SPUpath') and adaptive 'SPUpath' ('aSPUpath') test, Gene-based Association Test that uses an extended Simes procedure ('GATES'), Hybrid Set-based Test ('HYST'), extended version of 'GATES' test for pathway-based association testing ('Gates-Simes'). ). The tests can be used with genetic and other data sets with covariates. The response variable is binary or quantitative.
Il-Youp Kwak and others (See Author(s) in each function manual)

R codes for the (adaptive) Sum of Powered Score ('SPU' and 'aSPU') tests, inverse variance weighted Sum of Powered score ('SPUw' and 'aSPUw') tests and gene-based and some pathway based association tests (Pathway based Sum of Powered Score tests ('SPUpath'), adaptive 'SPUpath' ('aSPUpath') test, 'GEEaSPU' test for multiple traits - single 'SNP' (single-nucleotide-polymorphism) association in generalized estimation equations, 'MTaSPUs' test for multiple traits - single 'SNP' association with Genome Wide Association Studies ('GWAS') summary statistics, Gene-based Association Test that uses an extended Simes procedure ('GATES'), Hybrid Set-based Test ('HYST') and extended version of 'GATES' test for pathway-based association testing ('GATES-Simes'). ). The tests can be used with genetic and other data sets with covariates. The response variable is binary or quantitative. Summary; (1) Single trait-'SNP' set association with individual-level data ('aSPU', 'aSPUw'), (2) Single trait-'SNP' set association with summary statistics ('aSPUs'), (3) Single trait-pathway association with individual-level data ('aSPUpath'), (4) Single trait-pathway association with summary statistics ('aSPUsPath'), (5) Multiple traits-single 'SNP' association with individual-level data ('GEEaSPU'), (6) Multiple traits-single SNP association with summary statistics ('MTaSPUs').
R(>= 3.1.0), gee, MASS, mvtnorm, matrixStats