Metrics for Multiple Testing with Correlated Outcomes

Implements methods in Mathur and VanderWeele (in preparation) to characterize global evidence strength across W correlated ordinary least squares (OLS) hypothesis tests. Specifically, uses resampling to estimate a null interval for the total number of rejections in, for example, 95% of samples generated with no associations (the global null), the excess hits (the difference between the observed number of rejections and the upper limit of the null interval), and a test of the global null based on the number of rejections.


Reference manual

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1.2.0 by Maya B. Mathur, a year ago

Browse source code at

Authors: Maya B. Mathur , Tyler J. VanderWeele

Documentation:   PDF Manual  

GPL-2 license

Imports stats, doParallel, matrixcalc, StepwiseTest, foreach, mvtnorm

Suggests testthat

See at CRAN