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FDRestimation  

Estimate, Plot, and Summarize False Discovery Rates
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("FDRestimation", "1.0.1")



Attach the package and use:
library("FDRestimation")
Maintained by
Megan Murray
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-11-14
Latest Update: 2022-04-01
Description:
The user can directly compute and display false discovery rates from inputted p-values or z-scores under a variety of assumptions. p.fdr() computes FDRs, adjusted p-values and decision reject vectors from inputted p-values or z-values. get.pi0() estimates the proportion of data that are truly null. plot.p.fdr() plots the FDRs, adjusted p-values, and the raw p-values points against their rejection threshold lines.
How to cite:
Megan Murray (2020). FDRestimation: Estimate, Plot, and Summarize False Discovery Rates. R package version 1.0.1, https://cran.r-project.org/web/packages/FDRestimation. Accessed 22 Dec. 2024.
Previous versions and publish date:
1.0.0 (2020-11-14 10:30)
Other packages that cited FDRestimation R package
View FDRestimation citation profile
Other R packages that FDRestimation depends, imports, suggests or enhances
Complete documentation for FDRestimation
Functions, R codes and Examples using the FDRestimation R package
Some associated functions: get.pi0 . p.fdr . plot.p.fdr . print.summary.p.fdr . summary.p.fdr . 
Some associated R codes: get.pi0.R . p.fdr.R . plot.p.fdr.R . print.summary.p.fdr.R . summary.p.fdr.R .  Full FDRestimation package functions and examples
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