Package: aSPU
Version: 1.46
Date: 2016-11-8
Title: Adaptive Sum of Powered Score Test
Description: 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', 'aSPUr'), (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'), (7) Multiple traits-'SNP' set association with summary statistics('MTaSPUsSet'), (8) Multiple traits-pathway association with summary statistics('MTaSPUsSetPath').
Author: Il-Youp Kwak and others (See Author(s) in each function manual)
Maintainer: Il-Youp Kwak <ikwak@umn.edu>
Suggests: knitr
VignetteBuilder: knitr
Imports: Rcpp (>= 0.12.1)
Depends: R(>= 3.1.0), gee, MASS, mvtnorm, fields, matrixStats
License: GPL-3
LinkingTo: Rcpp, RcppArmadillo
URL: https://github.com/ikwak2/aSPU
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-11-08 21:42:04 UTC; ikwak
Repository: CRAN
Date/Publication: 2016-11-09 00:37:10