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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.

Type Size Name Uploaded Downloads Labels
conda 238.6 kB | win-64/r-rnomni-0.7.1-r36h796a38f_0.tar.bz2  5 years and 1 month ago 0 main
conda 262.2 kB | osx-64/r-rnomni-0.7.1-r36h466af19_0.tar.bz2  5 years and 1 month ago 0 main
conda 241.6 kB | linux-64/r-rnomni-0.7.1-r36h29659fb_0.tar.bz2  5 years and 1 month ago 0 main

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