CorrectedFDR-package: Correcting False Discovery Rates

In CorrectedFDR: Correcting False Discovery Rates

Description

There are many estimators of false discovery rate. In this package we compute the Nonlocal False Discovery Rate (NFDR) and the estimators of local false discovery rate: Corrected False discovery Rate (CFDR), Re-ranked False Discovery rate (RFDR) and the blended estimator. Bickel, D.R., Rahal, A. (2019) <https://tinyurl.com/kkdc9rk8>.

Details

The DESCRIPTION file:

Package:	CorrectedFDR
Type:	Package
Version:	1.1
Date:	2021-10-06
License:	GPL-3
Depends:	R(>= 2.14.2)
Suggests:	LFDR.MLE, LFDREmpiricalBayes, ProData

Two functions in CorrectedFDR package to compute the LFDR estimators. The function EstimatorsFDR computes the nonlocal false discovery rate (NFDR), the CFDR and the RFDR. The function BlendedLFDR uses a Benchmark of FDR, and other estimators of LFDR in order to get an estimate of LFDR.

Author(s)

Abbas Rahal, Anna Akpawu, Justin Chitpin and David R. Bickel

Maintainer: Abbas Rahal <[e-mail]>

References

Bickel, D.R., Rahal, A. (2019). Correcting false discovery rates for their bias toward false positives. Communications in Statistics - Simulation and Computation, https://tinyurl.com/kkdc9rk8.

Bickel, D. R. (2015). Corrigendum to: Simple estimators of false discovery rates given as few as one or two p-values without strong parametric assumptions. Statistical Applications in Genetics and Molecular Biology, 2015, 14, 225.

Bickel, D. R. (2015). Blending Bayesian and frequentist methods according to the precision of prior information with applications to hypothesis testing. Statistical Methods and Applications, 24(4), pp. 523-546.

Bickel, D. R. (2013). Simple estimators of false discovery rates given as few as one or two p-values without strong parametric assumptions. Statistical Applications in Genetics and Molecular Biology, 2013, 12, 529-543.

CorrectedFDR documentation built on Oct. 7, 2021, 5:11 p.m.