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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 |
Reference manual: | RNOmni.pdf |
Vignettes: |
Rank Normal Omnibus Association Test |
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 depends: | EWCE, ZIM4rv |
Reverse imports: | AllelicSeries |
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.