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 dominate 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: 1.0.0
Depends: R (≥ 3.2.2)
Imports: plyr, Rcpp, stats
LinkingTo: Rcpp, RcppArmadillo
Suggests: R.rsp
Published: 2020-10-05
Author: Zachary McCaw ORCID iD [aut, cre]
Maintainer: Zachary McCaw <zmccaw at alumni.harvard.edu>
License: GPL-3
NeedsCompilation: yes
CRAN checks: RNOmni results


Reference manual: RNOmni.pdf
Vignettes: Rank Normal Omnibus Association Test
Package source: RNOmni_1.0.0.tar.gz
Windows binaries: r-devel: RNOmni_1.0.0.zip, r-release: RNOmni_1.0.0.zip, r-oldrel: RNOmni_1.0.0.zip
macOS binaries: r-release: RNOmni_1.0.0.tgz, r-oldrel: RNOmni_1.0.0.tgz
Old sources: RNOmni archive


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