Package: cp4p 0.3.6
cp4p: Calibration Plot for Proteomics
Functions to check whether a vector of p-values respects the assumptions of FDR (false discovery rate) control procedures and to compute adjusted p-values.
Authors:
cp4p_0.3.6.tar.gz
cp4p_0.3.6.zip(r-4.5)cp4p_0.3.6.zip(r-4.4)cp4p_0.3.6.zip(r-4.3)
cp4p_0.3.6.tgz(r-4.4-any)cp4p_0.3.6.tgz(r-4.3-any)
cp4p_0.3.6.tar.gz(r-4.5-noble)cp4p_0.3.6.tar.gz(r-4.4-noble)
cp4p_0.3.6.tgz(r-4.4-emscripten)cp4p_0.3.6.tgz(r-4.3-emscripten)
cp4p.pdf |cp4p.html✨
cp4p/json (API)
# Install 'cp4p' in R: |
install.packages('cp4p', repos = c('https://jacky11.r-universe.dev', 'https://cloud.r-project.org')) |
- LFQRatio2 - Dataset "LFQRatio2"
- LFQRatio25 - Dataset "LFQRatio25"
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 6 years agofrom:870b13818b. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 21 2024 |
R-4.5-win | OK | Nov 21 2024 |
R-4.5-linux | OK | Nov 21 2024 |
R-4.4-win | OK | Nov 21 2024 |
R-4.4-mac | OK | Nov 21 2024 |
R-4.3-win | OK | Nov 21 2024 |
R-4.3-mac | OK | Nov 21 2024 |
Exports:adjust.pcalibration.plotestim.pi0
Dependencies:backportsBiobaseBiocGenericsbitbit64broomclicliprcodetoolscolorspacecpp11crayondplyrevaluatefansifarverforcatsforeachgeeMgeepackgenericsggformulaggplot2ggridgesglmnetgluegtablehavenhighrhmsisobanditeratorskinship2knitrlabelinglabelledlatticelifecyclelimmamagrittrMASSMatrixMESSmgcvmosaicCoremulttestmunsellmvtnormnlmepillarpkgconfigplyrprettyunitsprogresspurrrquadprogqvalueR6RColorBrewerRcppRcppArmadilloRcppEigenreadrreshape2rlangscalesshapestatmodstringistringrsurvivaltibbletidyrtidyselecttzdbutf8vctrsviridisLitevroomwithrxfunyaml
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Introduction to the CP4P package | cp4p-package cp4p |
Adjusted p-values for adaptive FDR control | adjust.p |
Displaying the "Calibration Plot" of a vector of p-values. | calibration.plot |
Estimation of the proportion of true null hypotheses | estim.pi0 |
Dataset "LFQRatio2" | LFQRatio2 |
Dataset "LFQRatio25" | LFQRatio25 |