Package: idr 1.3
idr: Irreproducible Discovery Rate
This is a package for estimating the copula mixture model and plotting correspondence curves. Details are in "Measuring reproducibility of high-throughput experiments" (2011), Annals of Applied Statistics, Vol. 5, No. 3, 1752-1779, by Li, Brown, Huang, and Bickel.
Authors:
idr_1.3.tar.gz
idr_1.3.zip(r-4.5)idr_1.3.zip(r-4.4)idr_1.3.zip(r-4.3)
idr_1.3.tgz(r-4.4-any)idr_1.3.tgz(r-4.3-any)
idr_1.3.tar.gz(r-4.5-noble)idr_1.3.tar.gz(r-4.4-noble)
idr_1.3.tgz(r-4.4-emscripten)idr_1.3.tgz(r-4.3-emscripten)
idr.pdf |idr.html✨
idr/json (API)
# Install 'idr' in R: |
install.packages('idr', repos = c('https://qlilab.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 2 years agofrom:4fa51a4089. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 14 2024 |
R-4.5-win | OK | Nov 14 2024 |
R-4.5-linux | OK | Nov 14 2024 |
R-4.4-win | OK | Nov 14 2024 |
R-4.4-mac | OK | Nov 14 2024 |
R-4.3-win | OK | Nov 14 2024 |
R-4.3-mac | OK | Nov 14 2024 |
Exports:comp.urid.binormale.step.2normalest.IDRget.correspondenceget.pseudo.mixget.uri.2dloglik.2binormalm.step.2normalselect.IDR
Dependencies:
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Irreproducible discovery rate | idr-package idr |
Estimate the irreproducible discovery rate using the copula mixture model | est.IDR |
Compute correspondence profiles | get.correspondence |
Salmon data | salmon |
Select observations according to IDR | select.IDR |
Simulated data | simu.idr |