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.

Getting started

Package details

AuthorMaya B. Mathur, Tyler J. VanderWeele
MaintainerMaya B. Mathur <mmathur@stanford.edu>
LicenseGPL-2
Version1.2.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("NRejections")

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NRejections documentation built on July 9, 2020, 5:08 p.m.