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>].
| Version: | 1.0.2 |
| Depends: | R (≥ 4.1.2),Rcpp, splines, stats |
| LinkingTo: | Rcpp,RcppArmadillo |
| Published: | 2025-05-30 |
| DOI: | 10.32614/CRAN.package.JUMP |
| 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 |
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