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:Quentin Giai Gianetto, Florence Combes, Claire Ramus, Christophe Bruley, Yohann Couté, Thomas Burger

cp4p_0.3.6.tar.gz
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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'))

Peer review:

Datasets:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3 exports 1.00 score 82 dependencies 1 dependents 2 mentions 16 scripts 328 downloads

Last updated 6 years agofrom:870b13818b. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 21 2024
R-4.5-winOKAug 21 2024
R-4.5-linuxOKAug 21 2024
R-4.4-winOKAug 21 2024
R-4.4-macOKAug 21 2024
R-4.3-winOKAug 21 2024
R-4.3-macOKAug 21 2024

Exports:adjust.pcalibration.plotestim.pi0

Dependencies:backportsBiobaseBiocGenericsbitbit64broomclicliprcodetoolscolorspacecpp11crayondplyrevaluatefansifarverforcatsforeachgeeMgeepackgenericsggformulaggplot2ggridgesglmnetgluegtablehavenhighrhmsisobanditeratorskinship2knitrlabelinglabelledlatticelifecyclelimmamagrittrMASSMatrixMESSmgcvmosaicCoremulttestmunsellmvtnormnlmepillarpkgconfigplyrprettyunitsprogresspurrrquadprogqvalueR6RColorBrewerRcppRcppArmadilloRcppEigenreadrreshape2rlangscalesshapestatmodstringistringrsurvivaltibbletidyrtidyselecttzdbutf8vctrsviridisLitevroomwithrxfunyaml