jamesliley/cfdr: Implements cFDR testing with overall FDR control

Implements conditional false-discovery rate hypothesis testing, used to perform high-dimensional hypothesis tests. Requires a set of summary statistics in an experiment of interest, and 'levers' on a second set of summary statistics at the same variables for a second experiment. Enables frequentist hypothesis testing with overall strong control of false-discovery rate. Can use several estimators of the cFDR function cFDR(p,q)=Pr(P<p,Q<q|H0).

Getting started

Package details

Maintainer
LicenseFreely distributable
Version1.0.0.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("jamesliley/cfdr")
jamesliley/cfdr documentation built on Aug. 12, 2018, 11:19 a.m.