Rank Normal Transformation Omnibus Test R package RNOmni version 1.0.1.2 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>. Software Depends: R (>= 3.2.2) Imports: plyr, Rcpp, stats LinkingTo: Rcpp, RcppArmadillo Suggests: testthat (>= 3.0.0), withr, R.rsp Zachary McCaw <zmccaw@alumni.harvard.edu> Comprehensive R Archive Network (CRAN) Zachary McCaw [aut, cre] (ORCID: <https://orcid.org/0000-0002-2006-9828>) GPL-3 2023-09-11 application/tgz https://CRAN.R-project.org/package=RNOmni doi:10.32614/CRAN.package.RNOmni