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: | 1.5.1 |
| Imports: | Rcpp (≥ 0.12.3) |
| LinkingTo: | Rcpp |
| Suggests: | knitr |
| Published: | 2017-08-14 |
| 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 |
| Reference manual: | jtGWAS.pdf |
| Vignettes: |
jtGWAS |
| Package source: | jtGWAS_1.5.1.tar.gz |
| Windows binaries: | r-devel: jtGWAS_1.5.1.zip, r-release: jtGWAS_1.5.1.zip, r-oldrel: jtGWAS_1.5.1.zip |
| macOS binaries: | r-release: jtGWAS_1.5.1.tgz, r-oldrel: jtGWAS_1.5.1.tgz |
| Old sources: | jtGWAS archive |
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