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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.
Getting started
Browse package contents
Package details |
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| Author | Jiaxing Lin, Alexander Sibley, Ivo Shterev, and Kouros Owzar |
| Maintainer | Jiaxing Lin <jiaxing.lin@duke.edu> |
| License | GPL (>= 2) |
| Version | 1.5.1 |
| URL | https://bitbucket.org/impactp01/jtgwas |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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