Package: FDRestimation 1.0.1

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.

Authors:Megan Murray [aut, cre], Jeffrey Blume [aut]

FDRestimation_1.0.1.tar.gz
FDRestimation_1.0.1.zip(r-4.5)FDRestimation_1.0.1.zip(r-4.4)FDRestimation_1.0.1.zip(r-4.3)
FDRestimation_1.0.1.tgz(r-4.4-any)FDRestimation_1.0.1.tgz(r-4.3-any)
FDRestimation_1.0.1.tar.gz(r-4.5-noble)FDRestimation_1.0.1.tar.gz(r-4.4-noble)
FDRestimation_1.0.1.tgz(r-4.4-emscripten)FDRestimation_1.0.1.tgz(r-4.3-emscripten)
FDRestimation.pdf |FDRestimation.html✨
FDRestimation/json (API)

Peer review:

Bug tracker:https://github.com/murraymegan/fdrestimation/issues

On CRAN:

statistics

2 exports 6 stars 1.19 score 2 dependencies 16 scripts 292 downloads

Last updated 2 years agofrom:16fcf2b442. Checks:OK: 3 NOTE: 4. Indexed: yes.

Exports:get.pi0p.fdr

Dependencies:rbibutilsRdpack