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bayefdr  

Bayesian Estimation and Optimisation of Expected False Discovery Rate
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("bayefdr", "0.2.1")



Attach the package and use:
library("bayefdr")
Maintained by
Alan O'Callaghan
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-07-30
Latest Update: 2022-10-26
Description:
Implements the Bayesian FDR control described by Newton et al. (2004), . Allows optimisation and visualisation of expected error rates based on tail posterior probability tests. Based on code written by Catalina Vallejos for BASiCS, see Beyond comparisons of means: understanding changes in gene expression at the single-cell level Vallejos et al. (2016) .
How to cite:
Alan O'Callaghan (2020). bayefdr: Bayesian Estimation and Optimisation of Expected False Discovery Rate. R package version 0.2.1, https://cran.r-project.org/web/packages/bayefdr. Accessed 07 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:20), 0.1.0 (2020-07-30 12:00), 0.2.0 (2021-09-29 18:20)
Other packages that cited bayefdr R package
View bayefdr citation profile
Other R packages that bayefdr depends, imports, suggests or enhances
Complete documentation for bayefdr
Functions, R codes and Examples using the bayefdr R package
Some associated functions: bayefdr-package . cumplot . efdr-efnr . efdr_search . optimal . plot.bayefdr . traceplot . utils . 
Some associated R codes: bayefdr-package.R . bayefdr.R . cumplot.R . traceplot.R .  Full bayefdr package functions and examples
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