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  "Title": "Generalized Berk-Jones Test for Set-Based Inference in Genetic\nAssociation Studies",
  "Version": "0.5.4",
  "Date": "2024-01-28",
  "Authors@R": "person(\"Ryan\", \"Sun\", email = \"ryansun.work@gmail.com\", role = c(\"aut\", \"cre\"))",
  "Description": "Offers the Generalized Berk-Jones (GBJ) test for set-based\ninference in genetic association studies. The GBJ is designed\nas an alternative to tests such as Berk-Jones (BJ), Higher\nCriticism (HC), Generalized Higher Criticism (GHC), Minimum\np-value (minP), and Sequence Kernel Association Test (SKAT).\nAll of these other methods (except for SKAT) are also\nimplemented in this package, and we additionally provide an\nomnibus test (OMNI) which integrates information from each of\nthe tests. The GBJ has been shown to outperform other tests in\ngenetic association studies when signals are correlated and\nmoderately sparse. Please see the vignette for a quickstart\nguide or Sun and Lin (2017) <arXiv:1710.02469> for more\ndetails.",
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