Package: NRejections
Type: Package
Title: Metrics for Multiple Testing with Correlated Outcomes
Version: 1.2.0
Author: Maya B. Mathur, Tyler J. VanderWeele
Maintainer: Maya B. Mathur <mmathur@stanford.edu>
Description: 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.
LazyData: true
License: GPL-2
Imports: stats, doParallel, matrixcalc, StepwiseTest, foreach, mvtnorm
RoxygenNote: 7.1.1
Suggests: testthat
NeedsCompilation: no
Packaged: 2020-07-09 12:58:21 UTC; mmathur
Repository: CRAN
Date/Publication: 2020-07-09 13:50:02 UTC
Built: R 4.6.0; ; 2026-04-25 15:34:12 UTC; unix
