Genetic association tests that use the rank-based inverse normal transformation (INT). 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. Moreover, INT-based tests dominate standard linear regression in terms of power. INT-based tests may be classified into two types: tests that directly transform the phenotype (D-INT) and tests that transform phenotypic residuals (I-INT). Our omnibus test (O-INT) adaptively combines D-INT and I-INT into a single robust and statistically powerful approach.
| Version: | 0.7.1 |
| Depends: | R (≥ 3.2.2) |
| Imports: | abind, foreach, plyr, Rcpp |
| LinkingTo: | Rcpp, RcppEigen |
| Suggests: | cowplot, ggplot2, knitr, reshape2, rmarkdown |
| Published: | 2019-04-28 |
| Author: | Zachary McCaw [aut, cre] |
| Maintainer: | Zachary McCaw <zmccaw at g.harvard.edu> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| CRAN checks: | RNOmni results |
| Reference manual: | RNOmni.pdf |
| Vignettes: |
Rank Normal Omnibus Association Test |
| Package source: | RNOmni_0.7.1.tar.gz |
| Windows binaries: | r-devel: RNOmni_0.7.1.zip, r-release: RNOmni_0.7.1.zip, r-oldrel: RNOmni_0.7.1.zip |
| macOS binaries: | r-release: RNOmni_0.7.1.tgz, r-oldrel: RNOmni_0.7.1.tgz |
| Old sources: | RNOmni archive |
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