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FDRsamplesize2  

Computing Power and Sample Size for the False Discovery Rate in Multiple Applications
View on CRAN: Click here


Download and install FDRsamplesize2 package within the R console
Install from CRAN:
install.packages("FDRsamplesize2")

Install from Github:
library("remotes")
install_github("cran/FDRsamplesize2")

Install by package version:
library("remotes")
install_version("FDRsamplesize2", "0.2.0")



Attach the package and use:
library("FDRsamplesize2")
Maintained by
Yonghui Ni
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-11-27
Latest Update: 2024-02-27
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.
How to cite:
Yonghui Ni (2023). FDRsamplesize2: Computing Power and Sample Size for the False Discovery Rate in Multiple Applications. R package version 0.2.0, https://cran.r-project.org/web/packages/FDRsamplesize2. Accessed 04 Oct. 2026.
Previous versions and publish date:
0.1.0 (2023-11-27 20:10), (2026-07-09 08:03)
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Complete documentation for FDRsamplesize2
Functions, R codes and Examples using the FDRsamplesize2 R package
Full FDRsamplesize2 package functions and examples
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