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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
DOI:10.32614/CRAN.package.NRejections
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.html ,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

Linking:

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