Metrics for Multiple Testing with Correlated Outcomes R package NRejections version 1.2.0 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. Software Imports: stats, doParallel, matrixcalc, StepwiseTest, foreach, mvtnorm Suggests: testthat Maya B. Mathur <mmathur@stanford.edu> Comprehensive R Archive Network (CRAN) Maya B. Mathur, Tyler J. VanderWeele GPL-2 2020-07-09 application/tgz https://CRAN.R-project.org/package=NRejections doi:10.32614/CRAN.package.NRejections