Package: mFDP 0.2.2
Jesse Hemerik
mFDP: Control of the Median of the FDP
Methods for controlling the median of the false discovery proportion (mFDP). Depending on the method, simultaneous or non-simultaneous inference is provided. The methods take a vector of p-values or test statistics as input.
Authors:
mFDP_0.2.2.tar.gz
mFDP_0.2.2.tar.gz(r-4.7-any)mFDP_0.2.2.tar.gz(r-4.6-any)
mFDP_0.2.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
mFDP/json (API)
| # Install 'mFDP' in R: |
| install.packages('mFDP', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:0a7a992527. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 94 | ||
| source / vignettes | OK | 108 | ||
| linux-release-x86_64 | OK | 102 | ||
| wasm-release | OK | 79 |
Exports:get.boundget.kappa.maxmFDP.adjustmFDP.direcmFDP.equiv
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Compute a 50 percent confidence upper bound for the number of false positives | get.bound |
| Based on a vector of raw p-values, compute 'kappa.max', which defines the mFDP envelope | get.kappa.max |
| compute mFDP-adjusted p-values | mFDP.adjust |
| mFDP control for directional testing | mFDP.direc |
| mFDP control for equivalence testing | mFDP.equiv |