An implementation of the use of efficient score statistics in genome-wide SNP set analysis with complex traits. Three standard score statistics (Cox, binomial, and Gaussian) are provided, but the package is easily extensible to include others. Code implementing the inferential procedure is primarily written in C++ and utilizes parallelization of the analysis to reduce runtime. A supporting function offers simple computation of observed, permutation, and FWER and FDR adjusted p-values.
| Version: | 0.5.3 |
| Imports: | fastmatch (≥ 1.0-4), foreach (≥ 1.4.1), doRNG (≥ 1.5.3), qvalue (≥ 1.34), Rcpp (≥ 0.10.4) |
| LinkingTo: | Rcpp, RcppEigen |
| Suggests: | knitr |
| Published: | 2017-12-14 |
| Author: | Chanhee Yi, Alexander Sibley, and Kouros Owzar |
| Maintainer: | Alexander Sibley <alexander.sibley at dm.duke.edu> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| Materials: | NEWS |
| CRAN checks: | RSNPset results |
| Reference manual: | RSNPset.pdf |
| Vignettes: |
rsnpset |
| Package source: | RSNPset_0.5.3.tar.gz |
| Windows binaries: | r-devel: RSNPset_0.5.3.zip, r-release: RSNPset_0.5.3.zip, r-oldrel: RSNPset_0.5.3.zip |
| macOS binaries: | r-release: RSNPset_0.5.3.tgz, r-oldrel: RSNPset_0.5.3.tgz |
| Old sources: | RSNPset archive |
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