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

Documentation:

Reference manual:

JUMP.pdf

Downloads:

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

Linking:

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