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>.

Package details

AuthorAlan O'Callaghan [aut, cre], Catalina Vallejos [aut]
MaintainerAlan O'Callaghan <>
Package repositoryView on CRAN
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bayefdr documentation built on Oct. 27, 2022, 1:05 a.m.