Rank Normal Transformation Omnibus Test

Implementation of genetic association tests that incorporate the rank-based inverse normal transformation (INT). These tests are broadly indicated for traits with continuous residual distributions. In the presence of non-normal residuals, INT-based tests robustly control the type I error, whereas standard linear regression may not. Moreover, INT-based tests dominate standard linear regression in terms of power. There are two main strategies for incorporating the INT in association analysis. In direct INT (D-INT), the trait is directly transformed. In indirect INT (I-INT), residuals are formed prior to transformation. Neither D-INT nor I-INT is uniformly most powerful. The INT omnibus test (O-INT) adaptively combines D-INT and I-INT into a single robust and statistically powerful approach.


Reference manual

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0.6.0 by Zachary McCaw, 3 months ago

Browse source code at https://github.com/cran/RNOmni

Authors: Zachary McCaw [aut, cre]

Documentation:   PDF Manual  

GPL-3 license

Imports abind, foreach, plyr, Rcpp

Suggests cowplot, ggplot2, knitr, reshape2, rmarkdown

Linking to Rcpp, RcppEigen

See at CRAN