Package: JUMP 1.0.2

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), <doi:10.1093/bioinformatics/btad366>].

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

JUMP_1.0.2.tar.gz
JUMP_1.0.2.tar.gz(r-4.7-arm64)JUMP_1.0.2.tar.gz(r-4.7-x86_64)JUMP_1.0.2.tar.gz(r-4.6-arm64)JUMP_1.0.2.tar.gz(r-4.6-x86_64)
JUMP_1.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
JUMP/json (API)

# Install 'JUMP' in R:
install.packages('JUMP', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

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

cpp

1.00 score 543 downloads 2 exports 2 dependencies

Last updated from:c3543e484d. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK103
linux-devel-x86_64OK106
source / vignettesOK147
linux-release-arm64OK108
linux-release-x86_64OK99
wasm-releaseOK107

Exports:JUMPjump_cutoff

Dependencies:RcppRcppArmadillo