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


Reference manual: FDRestimation.pdf


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


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