gridsemblefdr is a data-driven selective ensembling algorithm for estimating local (fdr) and tail-end (Fdr) false discovery rates in large-scale multiple hypothesis testing. This method is introduced in the paper Gridsemble: Selective Ensembling for False Discovery Rates. For the code to replicate all results reported in the paper, see the jennalandy/gridsemble_PAPER repository.
# install package from GitHub:
# install.packages("devtools")
library(devtools)
devtools::install_github("jennalandy/gridsemblefdr")
library(gridsemblefdr)