fdrtool: Estimation of (Local) False Discovery Rates and Higher Criticism
This package allows to estimate 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.
Downloads:
Reverse dependencies: