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bayefdr

Bayesian Estimation and Optimisation of Expected False Discovery Rate

v0.2.1 · Oct 26, 2022 · GPL-3

Description

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>.

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OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026

Dependency Network

Dependencies Reverse dependencies ggplot2 reshape2 assertthat cowplot ggExtra bayefdr

Version History

new 0.2.1 Mar 9, 2026