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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 |
| Reference manual: | NRejections.pdf |
| 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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