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RNOmni: Rank Normal Transformation Omnibus Test

Inverse normal transformation (INT) based genetic association testing. These tests are recommend for continuous traits with non-normally distributed residuals. INT-based tests robustly control the type I error in settings where standard linear regression does not, as when the residual distribution exhibits excess skew or kurtosis. Moreover, INT-based tests outperform standard linear regression in terms of power. These tests may be classified into two types. In direct INT (D-INT), the phenotype is itself transformed. In indirect INT (I-INT), phenotypic residuals are transformed. The omnibus test (O-INT) adaptively combines D-INT and I-INT into a single robust and statistically powerful approach. See McCaw ZR, Lane JM, Saxena R, Redline S, Lin X. "Operating characteristics of the rank-based inverse normal transformation for quantitative trait analysis in genome-wide association studies" <doi:10.1111/biom.13214>.

Version:	1.0.1.2
Depends:	R (≥ 3.2.2)
Imports:	plyr,Rcpp, stats
LinkingTo:	Rcpp,RcppArmadillo
Suggests:	testthat (≥ 3.0.0),withr,R.rsp
Published:	2023-09-11
DOI:	10.32614/CRAN.package.RNOmni
Author:	Zachary McCaw [aut, cre]
Maintainer:	Zachary McCaw <zmccaw at alumni.harvard.edu>
License:	GPL-3
NeedsCompilation:	yes
Materials:	NEWS
CRAN checks:	RNOmni results

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