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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 |
| 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 |
| 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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.