npetraco/fdrID: Computes local false discovery rate probabilities using JAGS, Stan and code from Efron, Turnbull and Narasimhan locfdr

Using ideas from Ann. Stat. 35(4):1351-1377 (2007), and some handy code from the former locfdr package, this package computes local false discovery rate (i.e. posterior error probability) estimates for classification/ discrimination tasks using a Bayesian Poission regression. Specifically, the Bayesian Poission regression is used to estimate the denominator of Bayes Theorem within Efron's two-groups empirical Bayes methodology. The regression is a heirarical model and carried out with either JAGS ( or Stan (, via their R interfaces.

Getting started

Package details

AuthorNick Petraco
LicenseGPL (>= 2)
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
npetraco/fdrID documentation built on May 23, 2019, 9:33 p.m.