SchurC

<p>Cross information between target and nuisance parameters</p>

<p>Calculates the efficient information \(I_{11}-I_{12}I_{22}^{-1}I_{21}\);</p>

Implementation of genetic association tests based on the rank based inverse normal transformation (INT). The primary contribution is an omnibus test, which synthesizes two complementary INT-based approaches. In simulations against phenotypes with skewed and heavy tailed residual distributions, the omnibus test provided valid inference in the absence of a genotypic effect, and provided power comparable to the more powerful of the component methods in the presence of a genotypic effect. Under these settings, standard linear regression often failed to control the type I error.

Zachary McCaw

SchurC: Schur complement

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