FDRsamplesize2

FDRsamplesize2-package

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.

internal

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.

Yonghui Ni

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

Stanley Pounds

FDRsamplesize2-package function

Maintainer: Yonghui Ni <a href="/link/Yonghui.Ni%40STJUDE.ORG?package=FDRsamplesize2&version=0.2.0" data-mini-rdoc="FDRsamplesize2::Yonghui.Ni@STJUDE.ORG">Yonghui.Ni@STJUDE.ORG</a>
Authors:<ul>
<li>Stanley Pounds <a href="/link/Stanley.Pounds%40STJUDE.ORG?package=FDRsamplesize2&version=0.2.0" data-mini-rdoc="FDRsamplesize2::Stanley.Pounds@STJUDE.ORG">Stanley.Pounds@STJUDE.ORG</a></li>
</ul>

Author

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

Maintainer: Yonghui Ni <a href='mailto:Yonghui.Ni@STJUDE.ORG'>Yonghui.Ni@STJUDE.ORG</a>
Authors:<ul>
<li>Stanley Pounds <a href='mailto:Stanley.Pounds@STJUDE.ORG'>Stanley.Pounds@STJUDE.ORG</a></li>
</ul>

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

Description

Arguments

Author