bayefdr: Bayesian Estimation and Optimisation of Expected False Discovery Rate

Implements the Bayesian FDR control described by Newton et al. (2004), <doi:10.1093/biostatistics/5.2.155>. 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) <doi:10.1186/s13059-016-0930-3>.

Version: 0.2.1
Imports: ggplot2, reshape2, assertthat, utils, cowplot, ggExtra, stats
Suggests: testthat, pkgdown
Published: 2022-10-26
DOI: 10.32614/CRAN.package.bayefdr
Author: Alan O'Callaghan [aut, cre], Catalina Vallejos [aut]
Maintainer: Alan O'Callaghan <alan.ocallaghan at>
License: GPL-3
NeedsCompilation: no
Language: en-gb
Materials: README NEWS
In views: Bayesian, Omics
CRAN checks: bayefdr results


Reference manual: bayefdr.pdf


Package source: bayefdr_0.2.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): bayefdr_0.2.1.tgz, r-oldrel (arm64): bayefdr_0.2.1.tgz, r-release (x86_64): bayefdr_0.2.1.tgz, r-oldrel (x86_64): bayefdr_0.2.1.tgz
Old sources: bayefdr archive


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