fdrtool: Estimation of (Local) False Discovery Rates and Higher Criticism

Estimates both tail area-based false discovery rates (Fdr) as well as local false discovery rates (fdr) for a variety of null models (p-values, z-scores, correlation coefficients, t-scores). The proportion of null values and the parameters of the null distribution are adaptively estimated from the data. In addition, the package contains functions for non-parametric density estimation (Grenander estimator), for monotone regression (isotonic regression and antitonic regression with weights), for computing the greatest convex minorant (GCM) and the least concave majorant (LCM), for the half-normal and correlation distributions, and for computing empirical higher criticism (HC) scores and the corresponding decision threshold.

Getting started

Package details

AuthorBernd Klaus and Korbinian Strimmer.
MaintainerKorbinian Strimmer <strimmerlab@gmail.com>
LicenseGPL (>= 3)
URL https://strimmerlab.github.io/software/fdrtool/
Package repositoryView on CRAN
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fdrtool documentation built on Nov. 14, 2021, 1:07 a.m.