FDRsamplesize2-package: FDRsamplesize2: Computing Power and Sample Size for the False...
In FDRsamplesize2: Computing Power and Sample Size for the False Discovery Rate in Multiple Applications
FDRsamplesize2-package R Documentation
FDRsamplesize2: Computing Power and Sample Size for the False Discovery Rate in Multiple Applications
Description
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.
Author(s)
Maintainer: Yonghui Ni Yonghui.Ni@STJUDE.ORG
Authors:
Stanley Pounds Stanley.Pounds@STJUDE.ORG
FDRsamplesize2 documentation built on May 29, 2024, 7:12 a.m.
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| FDRsamplesize2-package | R Documentation |
FDRsamplesize2: Computing Power and Sample Size for the False Discovery Rate in Multiple Applications
Description
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.
Author(s)
Maintainer: Yonghui Ni Yonghui.Ni@STJUDE.ORG
Authors:
Stanley Pounds Stanley.Pounds@STJUDE.ORG
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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