RSNPset: Efficient Score Statistics for Genome-Wide SNP Set Analysis

An implementation of the use of efficient score statistics in genome-wide SNP set analysis with complex traits. Three standard score statistics (Cox, binomial, and Gaussian) are provided, but the package is easily extensible to include others. Code implementing the inferential procedure is primarily written in C++ and utilizes parallelization of the analysis to reduce runtime. A supporting function offers simple computation of observed, permutation, and FWER and FDR adjusted p-values.

Install the latest version of this package by entering the following in R:
install.packages("RSNPset")
AuthorChanhee Yi, Alexander Sibley, and Kouros Owzar
Date of publication2017-02-21 16:46:20
MaintainerAlexander Sibley <alexander.sibley@dm.duke.edu>
LicenseGPL-3
Version0.5.2

View on CRAN

Files

inst
inst/doc
inst/doc/RSNPset.pdf
inst/doc/RSNPset.R
inst/doc/RSNPset.Rnw
src
src/Makevars
src/rsnpset.cpp
src/Makevars.win
src/init.c
NAMESPACE
NEWS
R
R/summary.RSNPset.R R/summary.RSNPset.pvalue.R R/rsnpset.R R/rsnpset.pvalue.R
vignettes
vignettes/RSNPset.Rnw
MD5
build
build/vignette.rds
DESCRIPTION
man
man/summary.RSNPset.Rd man/RSNPset-package.Rd man/summary.RSNPset.pvalue.Rd man/rsnpset.pvalue.Rd man/rsnpset.Rd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.