FDRsamplesize2: Computing Power and Sample Size for the False Discovery Rate in Multiple Applications

Defines a collection of functions to compute average power and sample size for studies that use the false discovery rate as the final measure of statistical significance. A three-rectangle approximation method of a p-value histogram is proposed to derive a formula to compute the statistical power for analyses that involve the FDR. The methodology paper of this package is under review.

Version: 0.2.0
Suggests: testthat (≥ 3.0.0)
Published: 2024-02-27
Author: Yonghui Ni [aut, cre], Stanley Pounds [aut]
Maintainer: Yonghui Ni <Yonghui.Ni at STJUDE.ORG>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README NEWS
CRAN checks: FDRsamplesize2 results

Documentation:

Reference manual: FDRsamplesize2.pdf

Downloads:

Package source: FDRsamplesize2_0.2.0.tar.gz
Windows binaries: r-prerel: FDRsamplesize2_0.2.0.zip, r-release: FDRsamplesize2_0.2.0.zip, r-oldrel: FDRsamplesize2_0.2.0.zip
macOS binaries: r-prerel (arm64): FDRsamplesize2_0.2.0.tgz, r-release (arm64): FDRsamplesize2_0.2.0.tgz, r-oldrel (arm64): FDRsamplesize2_0.2.0.tgz, r-prerel (x86_64): FDRsamplesize2_0.2.0.tgz, r-release (x86_64): FDRsamplesize2_0.2.0.tgz
Old sources: FDRsamplesize2 archive

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