jtGWAS: Efficient Jonckheere-Terpstra Test Statistics
Version 1.5.1

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.

Package details

AuthorJiaxing Lin, Alexander Sibley, Ivo Shterev, and Kouros Owzar
Date of publication2017-08-14 18:25:30 UTC
MaintainerJiaxing Lin <jiaxing.lin@duke.edu>
LicenseGPL (>= 2)
Version1.5.1
URL https://bitbucket.org/impactp01/jtgwas
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("jtGWAS")

Try the jtGWAS package in your browser

Any scripts or data that you put into this service are public.

jtGWAS documentation built on Aug. 15, 2017, 1:02 a.m.