jtGWAS: Efficient Jonckheere-Terpstra Test Statistics

The core of this 'Rcpp' based package is a function to compute standardized Jonckheere-Terpstra test statistics for large numbers of dependent and independent variables, e.g., genome-wide analysis. It implements 'OpenMP', allowing the option of computing on multiple threads. Supporting functions are also provided to calculate p-values and summarize results.

Install the latest version of this package by entering the following in R:
install.packages("jtGWAS")
AuthorJiaxing Lin, Alexander Sibley, Ivo Shterev, and Kouros Owzar
Date of publication2017-02-20 23:59:27
MaintainerJiaxing Lin <jiaxing.lin@duke.edu>
LicenseGPL (>= 2)
Version1.5
https://bitbucket.org/impactp01/jtgwas

View on CRAN

Files

inst
inst/doc
inst/doc/jtGWAS.R
inst/doc/jtGWAS.pdf
inst/doc/jtGWAS.Rnw
src
src/pairCompare.h
src/Makevars
src/jtGWAS.cpp
src/JTscoreMP.h
src/JTscore.h
src/pairCompareMP.h
src/jtGWASmp.cpp
src/Makevars.win
src/init.c
src/RcppExports.cpp
NAMESPACE
NEWS
R
R/jtGWAS.R R/pvalues.R R/summary.jtGWAS.R
vignettes
vignettes/jtGWAS.Rnw
MD5
build
build/vignette.rds
DESCRIPTION
man
man/summary.jtGWAS.Rd man/jtGWAS-package.Rd man/pvalues.Rd man/jtGWAS.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.