Other packages > Find by keyword >

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", "3.2.4")



Attach the package and use:
library("pwrFDR")
Maintained by
Grant Izmirlian
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-01-17
Latest Update: 2025-01-14
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 (2018). pwrFDR: FDR Power. R package version 3.2.4, https://cran.r-project.org/web/packages/pwrFDR. Accessed 05 Aug. 2026.
Previous versions and publish date:
(2026-07-09 06:44), 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), 3.2.2 (2024-12-18 18:00)
Other packages that cited pwrFDR R package
View pwrFDR citation profile
Other R packages that pwrFDR depends, imports, suggests or enhances
Complete documentation for pwrFDR
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
dhReg  
Dynamic Harmonic Regression
Building and forecasting time series data with multiple seasonality using Dynamic Harmonic Regressio ...
Download / Learn more Package Citations See dependency  
noisyr  
Noise Quantification in High Throughput Sequencing Output
Quantifies and removes technical noise from high-throughput sequencing data. Two approaches are use ...
Download / Learn more Package Citations See dependency  
dcov  
A Fast Implementation of Distance Covariance
Efficient methods for computing distance covariance and relevant statistics. See Sz ...
Download / Learn more Package Citations See dependency  
kernelPSI  
Post-Selection Inference for Nonlinear Variable Selection
Different post-selection inference strategies for kernelselection as described in kernelPSI a Post-S ...
Download / Learn more Package Citations See dependency  

28,083

R Packages

239,283

Dependencies

74,457

Author Associations

28,084

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA