Package: JUMP 1.0.1

Yan Li

JUMP: Replicability Analysis of High-Throughput Experiments

Implementing a computationally scalable false discovery rate control procedure for replicability analysis based on maximum of p-values. Please cite the manuscript corresponding to this package [Lyu, P. et al., (2023), <https://www.biorxiv.org/content/10.1101/2023.02.13.528417v2>].

Authors:Pengfei Lyu [aut, ctb], Yan Li [aut, cre, cph], Xiaoquan Wen [aut], Hongyuan Cao [aut, ctb]

JUMP_1.0.1.tar.gz
JUMP_1.0.1.tar.gz(r-4.5-noble)JUMP_1.0.1.tar.gz(r-4.4-noble)
JUMP_1.0.1.tgz(r-4.4-emscripten)JUMP_1.0.1.tgz(r-4.3-emscripten)
JUMP.pdf |JUMP.html✨
JUMP/json (API)

# Install 'JUMP' in R:
install.packages('JUMP', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3

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

1.00 score 96 downloads 2 exports 2 dependencies

Last updated 2 years agofrom:83bfcc0ce4. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 05 2024
R-4.5-linux-x86_64OKNov 05 2024

Exports:JUMPjump_cutoff

Dependencies:RcppRcppArmadillo