NRejections: 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.

Version:	1.2.0
Imports:	stats, doParallel, matrixcalc, StepwiseTest, foreach, mvtnorm
Suggests:	testthat
Published:	2020-07-09
Author:	Maya B. Mathur, Tyler J. VanderWeele
Maintainer:	Maya B. Mathur <mmathur at stanford.edu>
License:	GPL-2
NeedsCompilation:	no
Citation:	NRejections citation info
CRAN checks:	NRejections results

Documentation:

Reference manual:

NRejections.pdf

Downloads:

Package source:	NRejections_1.2.0.tar.gz
Windows binaries:	r-devel: NRejections_1.2.0.zip, r-release: NRejections_1.2.0.zip, r-oldrel: NRejections_1.2.0.zip
macOS binaries:	r-release (arm64): NRejections_1.2.0.tgz, r-oldrel (arm64): NRejections_1.2.0.tgz, r-release (x86_64): NRejections_1.2.0.tgz, r-oldrel (x86_64): NRejections_1.2.0.tgz
Old sources:	NRejections archive

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