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-devel: FDRsamplesize2_0.2.0.zip, r-release: FDRsamplesize2_0.2.0.zip, r-oldrel: FDRsamplesize2_0.2.0.zip
macOS binaries:	r-release (arm64): FDRsamplesize2_0.2.0.tgz, r-oldrel (arm64): FDRsamplesize2_0.2.0.tgz, r-release (x86_64): FDRsamplesize2_0.2.0.tgz, r-oldrel (x86_64): FDRsamplesize2_0.2.0.tgz
Old sources:	FDRsamplesize2 archive

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