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>].

Version: 1.0.1
Depends: R (≥ 4.1.2), Rcpp, splines, stats
LinkingTo: Rcpp, RcppArmadillo
Published: 2023-05-24
Author: Pengfei Lyu [aut, ctb], Yan Li [aut, cre, cph], Xiaoquan Wen [aut], Hongyuan Cao [aut, ctb]
Maintainer: Yan Li <yanli_ at jlu.edu.cn>
License: GPL-3
NeedsCompilation: yes
CRAN checks: JUMP results


Reference manual: JUMP.pdf


Package source: JUMP_1.0.1.tar.gz
Windows binaries: r-devel: JUMP_1.0.1.zip, r-release: JUMP_1.0.1.zip, r-oldrel: JUMP_1.0.1.zip
macOS binaries: r-release (arm64): JUMP_1.0.1.tgz, r-oldrel (arm64): JUMP_1.0.1.tgz, r-release (x86_64): JUMP_1.0.1.tgz, r-oldrel (x86_64): JUMP_1.0.1.tgz


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