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JUMP  

Replicability Analysis of High-Throughput Experiments
View on CRAN: Click here


Download and install JUMP package within the R console
Install from CRAN:
install.packages("JUMP")

Install from Github:
library("remotes")
install_github("cran/JUMP")

Install by package version:
library("remotes")
install_version("JUMP", "1.0.1")



Attach the package and use:
library("JUMP")
Maintained by
Yan Li
[Scholar Profile | Author Map]
First Published: 2023-05-24
Latest Update: 2023-05-24
Description:
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), ].
How to cite:
Yan Li (2023). JUMP: Replicability Analysis of High-Throughput Experiments. R package version 1.0.1, https://cran.r-project.org/web/packages/JUMP. Accessed 20 Feb. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited JUMP R package
View JUMP citation profile
Other R packages that JUMP depends, imports, suggests or enhances
Complete documentation for JUMP
Functions, R codes and Examples using the JUMP R package
Full JUMP package functions and examples
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