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