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: 0.1.0
Imports: ggplot2, reshape2, assertthat, utils, stats
Suggests: testthat
Published: 2020-07-30
Author: Alan O'Callaghan [aut, cre], Catalina Vallejos [aut]
Maintainer: Alan O'Callaghan <alan.ocallaghan at outlook.com>
BugReports: https://github.com/VallejosGroup/bayefdr/issues
License: GPL-3
NeedsCompilation: no
Materials: README
CRAN checks: bayefdr results

Downloads:

Reference manual: bayefdr.pdf
Package source: bayefdr_0.1.0.tar.gz
Windows binaries: r-devel: bayefdr_0.1.0.zip, r-release: bayefdr_0.1.0.zip, r-oldrel: bayefdr_0.1.0.zip
macOS binaries: r-release (arm64): bayefdr_0.1.0.tgz, r-release (x86_64): bayefdr_0.1.0.tgz, r-oldrel: bayefdr_0.1.0.tgz

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