Bayesian Estimation and Optimisation of Expected False Discovery Rate

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) .


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Reference manual

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install.packages("bayefdr")

0.1.0 by Alan O'Callaghan, 3 months ago


Report a bug at https://github.com/VallejosGroup/bayefdr/issues


Browse source code at https://github.com/cran/bayefdr


Authors: Alan O'Callaghan [aut, cre] , Catalina Vallejos [aut]


Documentation:   PDF Manual  


GPL-3 license


Imports ggplot2, reshape2, assertthat, utils, stats

Suggests testthat


See at CRAN