Inverse normal transformation (INT) based genetic association testing. These tests are recommend for continuous traits with nonnormally distributed residuals. INTbased 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, INTbased tests dominate standard linear regression in terms of power. These tests may be classified into two types. In direct INT (DINT), the phenotype is itself transformed. In indirect INT (IINT), phenotypic residuals are transformed. The omnibus test (OINT) adaptively combines DINT and IINT into a single robust and statistically powerful approach. See McCaw ZR, Lane JM, Saxena R, Redline S, Lin X. "Operating characteristics of the rankbased inverse normal transformation for quantitative trait analysis in genomewide association studies" <doi:10.1111/biom.13214>.
Package details 


Author  Zachary McCaw [aut, cre] (<https://orcid.org/0000000220069828>) 
Maintainer  Zachary McCaw <zmccaw@alumni.harvard.edu> 
License  GPL3 
Version  1.0.0 
Package repository  View on CRAN 
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