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pwrFDR  

FDR Power
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("pwrFDR", "2.8.9")



Attach the package and use:
library("pwrFDR")
Maintained by
Grant Izmirlian Jr
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-01-17
Latest Update: 2021-05-12
Description:
This is a package for calculating two differing notions of power, or deriving sample sizes for specified requisite power in multiple testing experiments under a variety of methods for control of the distribution of the False Discovery Proportion (FDP). More specifically, one can choose to control the FDP distribution according to control of its (i) mean, e.g. the usual BH-FDR procedure, or via the probability that it exceeds a given value, delta, via (ii) the Romano procedure, or via (iii) my procedure based upon asymptotic approximation. Likewise, we can think of the power in multiple testing experiments in terms of a summary of the distribution of the True Positive Proportion (TPP). The package will compute power, sample size or any other missing parameter required for power based upon (i) the mean of the TPP which is the average power (ii) the probability that the TPP exceeds a given value, lambda, via my asymptotic approximation procedure. The theoretical results are described in Izmirlian, G. (2020) Stat. and Prob. letters, , and an applied paper describing the methodology with a simulation study is in preparation.
How to cite:
Grant Izmirlian Jr (2018). pwrFDR: FDR Power. R package version 2.8.9, https://cran.r-project.org/web/packages/pwrFDR. Accessed 22 Dec. 2024.
Previous versions and publish date:
1.80 (2018-01-17 10:45), 1.85 (2018-01-25 23:47), 1.90 (2018-04-09 21:41), 1.95 (2018-08-22 23:30), 2.8.4 (2020-09-26 08:00), 2.8.6 (2020-11-04 00:20), 2.8.7 (2021-01-14 06:10), 2.8.9 (2021-05-12 18:10)
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