FDRestimation: Estimate, Plot, and Summarize False Discovery Rates

The user can directly compute and display false discovery rates from inputted p-values or z-scores under a variety of assumptions. p.fdr() computes FDRs, adjusted p-values and decision reject vectors from inputted p-values or z-values. get.pi0() estimates the proportion of data that are truly null. plot.p.fdr() plots the FDRs, adjusted p-values, and the raw p-values points against their rejection threshold lines.

Version:	1.0.1
Depends:	R (≥ 3.4.0)
Imports:	stats, utils, graphics, Rdpack
Published:	2022-04-01
DOI:	10.32614/CRAN.package.FDRestimation
Author:	Megan Murray [aut, cre], Jeffrey Blume [aut]
Maintainer:	Megan Murray <megan.c.hollister at vanderbilt.edu>
License:	MIT + file LICENSE
URL:	<doi:10.12688/f1000research.52999.2>
NeedsCompilation:	no
Materials:	README
CRAN checks:	FDRestimation results

Documentation:

Reference manual:

FDRestimation.html , FDRestimation.pdf

Downloads:

Package source:	FDRestimation_1.0.1.tar.gz
Windows binaries:	r-devel: FDRestimation_1.0.1.zip, r-release: FDRestimation_1.0.1.zip, r-oldrel: FDRestimation_1.0.1.zip
macOS binaries:	r-release (arm64): FDRestimation_1.0.1.tgz, r-oldrel (arm64): FDRestimation_1.0.1.tgz, r-release (x86_64): FDRestimation_1.0.1.tgz, r-oldrel (x86_64): FDRestimation_1.0.1.tgz
Old sources:	FDRestimation archive

Linking:

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