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:
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-4.5-any)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)
| # Install 'FDRestimation' in R: |
| install.packages('FDRestimation', repos = c('https://murraymegan.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/murraymegan/fdrestimation/issues
Last updated 3 years agofrom:16fcf2b442. Checks:3 OK, 5 NOTE. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Feb 23 2025 |
| R-4.5-win | NOTE | Feb 23 2025 |
| R-4.5-mac | NOTE | Feb 23 2025 |
| R-4.5-linux | NOTE | Feb 23 2025 |
| R-4.4-win | NOTE | Feb 23 2025 |
| R-4.4-mac | NOTE | Feb 23 2025 |
| R-4.3-win | OK | Feb 23 2025 |
| R-4.3-mac | OK | Feb 23 2025 |
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| pi0 Estimation | get.pi0 |
| FDR Computation | p.fdr |
| FDR plotting | plot.p.fdr |
| Print the summary of p.fdr.object | print.summary.p.fdr |
| Summary of p.fdr.object | summary.p.fdr |
