{ "_id": "6a140b9cacfb0bcc41d3a786", "Package": "STAREG", "Type": "Package", "Title": "An Empirical Bayes Approach for Replicability Analysis Across\nTwo Studies", "Version": "1.0.4", "Authors@R": "c(person(\"Yan Li\", role = c(\"aut\", \"cre\", \"cph\"), email = \"yanli_@jlu.edu.cn\"), person(\"Xiang Zhou\", role = c(\"aut\")), person(\"Rui Chen\", role = c(\"aut\")), person(\"Xianyang Zhang\", role = c(\"aut\")), person(\"Hongyuan Cao\", role = c(\"aut\", \"ctb\")))", "Description": "A robust and powerful empirical Bayesian approach is\ndeveloped for replicability analysis of two large-scale\nexperimental studies. The method controls the false discovery\nrate by using the joint local false discovery rate based on the\nreplicability null as the test statistic. An EM algorithm\ncombined with a shape constraint nonparametric method is used\nto estimate unknown parameters and functions. 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