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STAREG  

An Empirical Bayes Approach for Replicability Analysis Across Two Studies
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("STAREG", "1.0.3")



Attach the package and use:
library("STAREG")
Maintained by
Yan Li
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-06-13
Latest Update: 2023-08-15
Description:
A robust and powerful empirical Bayesian approach is developed for replicability analysis of two large-scale experimental studies. The method controls the false discovery rate by using the joint local false discovery rate based on the replicability null as the test statistic. An EM algorithm combined with a shape constraint nonparametric method is used to estimate unknown parameters and functions. [Li, Y. et al., (2023), <https://www.biorxiv.org/content/10.1101/2023.05.30.542607v1>].
How to cite:
Yan Li (2023). STAREG: An Empirical Bayes Approach for Replicability Analysis Across Two Studies. R package version 1.0.3, https://cran.r-project.org/web/packages/STAREG. Accessed 22 Dec. 2024.
Previous versions and publish date:
1.0.0 (2023-06-13 10:10), 1.0.1 (2023-06-16 00:20), 1.0.2 (2023-06-29 20:30)
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Complete documentation for STAREG
Functions, R codes and Examples using the STAREG R package
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