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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 ORCID iD [aut, cre]
Maintainer: Zachary McCaw <zmccaw at alumni.harvard.edu>
License: GPL-3
NeedsCompilation: yes
Materials: NEWS
CRAN checks: RNOmni results

Documentation:

Reference manual: RNOmni.pdf
Vignettes: Rank Normal Omnibus Association Test

Downloads:

Package source: RNOmni_1.0.1.2.tar.gz
Windows binaries: r-devel: RNOmni_1.0.1.2.zip, r-release: RNOmni_1.0.1.2.zip, r-oldrel: RNOmni_1.0.1.2.zip
macOS binaries: r-release (arm64): RNOmni_1.0.1.2.tgz, r-oldrel (arm64): RNOmni_1.0.1.2.tgz, r-release (x86_64): RNOmni_1.0.1.2.tgz, r-oldrel (x86_64): RNOmni_1.0.1.2.tgz
Old sources: RNOmni archive

Reverse dependencies:

Reverse depends: EWCE
Reverse imports: AllelicSeries

Linking:

Please use the canonical form https://CRAN.R-project.org/package=RNOmni to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.