Implementation of genetic association tests based on the rank based inverse normal transformation (INT). The primary contribution is an omnibus test, which synthesizes two complementary INT-based approaches. In simulations against phenotypes with skewed and heavy tailed residual distributions, the omnibus test provided valid inference in the absence of a genotypic effect, and provided power comparable to the more powerful of the component methods in the presence of a genotypic effect. Under these settings, standard linear regression often failed to control the type I error.
| Version: | 0.3.0 |
| Depends: | R (≥ 3.2.2) |
| Imports: | abind, foreach, mvtnorm, plyr, Rcpp |
| LinkingTo: | Rcpp, RcppEigen |
| Suggests: | ggplot2, knitr, reshape2, rmarkdown |
| Published: | 2018-04-18 |
| Author: | Zachary McCaw [aut, cre] |
| Maintainer: | Zachary McCaw <zmccaw at g.harvard.edu> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| CRAN checks: | RNOmni results |
| Reference manual: | RNOmni.pdf |
| Vignettes: |
Rank Normal Omnibus Association Test |
| Package source: | RNOmni_0.3.0.tar.gz |
| Windows binaries: | r-devel: RNOmni_0.3.0.zip, r-release: RNOmni_0.3.0.zip, r-oldrel: RNOmni_0.3.0.zip |
| OS X binaries: | r-release: RNOmni_0.3.0.tgz, r-oldrel: RNOmni_0.3.0.tgz |
| Old sources: | RNOmni archive |
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