RNOmni: Omnibus Test for Genetic Association Analysis using the Rank Normal Transformation

Implementation of genetic association tests for continuous outcomes utilizing the rank-based inverse normal transformation (INT). For outcomes whose residual distribution is heavily skewed or enriched for outliers, INT-based tests provided valid inference and improved power. The primary contribution is a rank normal omnibus test (RNOmni), which synthesizes two complementary INT-based approaches. In simulations against non-normal phenotypes, the omnibus test controlled the type I error in the absence of genetic associations, and improved power in the presence of genetic associations. Under the same settings, standard linear regression variously failed to control the type I error in the absence of associations, and was underpowered in the presence of associations.

Version: 0.5.0
Depends: R (≥ 3.2.2)
Imports: abind, foreach, plyr, Rcpp
LinkingTo: Rcpp, RcppEigen
Suggests: cowplot, ggplot2, knitr, reshape2, rmarkdown
Published: 2018-09-14
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_0.5.0.tar.gz
Windows binaries: r-devel: RNOmni_0.5.0.zip, r-release: RNOmni_0.5.0.zip, r-oldrel: RNOmni_0.5.0.zip
OS X binaries: r-release: RNOmni_0.5.0.tgz, r-oldrel: RNOmni_0.5.0.tgz
Old sources: RNOmni archive


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