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.

Version: 1.5
Imports: Rcpp (≥ 0.12.3)
LinkingTo: Rcpp
Suggests: knitr
Published: 2017-02-20
Author: Jiaxing Lin, Alexander Sibley, Ivo Shterev, and Kouros Owzar
Maintainer: Jiaxing Lin <jiaxing.lin at duke.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://bitbucket.org/impactp01/jtgwas
NeedsCompilation: yes
Materials: NEWS
CRAN checks: jtGWAS results

Downloads:

Reference manual: jtGWAS.pdf
Vignettes: jtGWAS
Package source: jtGWAS_1.5.tar.gz
Windows binaries: r-devel: jtGWAS_1.5.zip, r-release: jtGWAS_1.5.zip, r-oldrel: jtGWAS_1.5.zip
OS X Mavericks binaries: r-release: jtGWAS_1.5.tgz, r-oldrel: jtGWAS_1.5.tgz
Old sources: jtGWAS archive

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