Package: mFDP 0.2.1
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_0.2.1.tar.gz
mFDP_0.2.1.tar.gz(r-4.5-noble)mFDP_0.2.1.tar.gz(r-4.4-noble)
mFDP_0.2.1.tgz(r-4.4-emscripten)mFDP_0.2.1.tgz(r-4.3-emscripten)
mFDP.pdf |mFDP.html✨
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 29 days agofrom:acfc125b2d. Checks:2 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Jan 22 2025 |
| R-4.5-linux | OK | Jan 22 2025 |
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 |