STAREG
An Empirical Bayes Approach for Replicability Analysis Across Two Studies
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),
- Version1.0.3
- R versionunknown
- LicenseGPL-3
- Needs compilation?Yes
- Last release08/15/2023
Team
Yan Li
Xiang Zhou
Show author detailsRolesAuthorRui Chen
Show author detailsRolesAuthorXianyang Zhang
Show author detailsRolesAuthorHongyuan Cao
Show author detailsRolesAuthor, Contributor
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- Depends2 packages
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