{ "_id": "6a16cb19acfb0bcc41d89a18", "Encoding": "UTF-8", "Type": "Package", "Package": "bmass", "Version": "1.0.3", "Date": "2019-05-15", "Title": "Bayesian Multivariate Analysis of Summary Statistics", "Authors@R": "c(person(\"Michael\",\"Turchin\",email = \"mturchin20@uchicago.edu\",\nrole=c(\"aut\",\"cre\")),\nperson(\"Matthew\",\"Stephens\",email = \"mstephens@uchicago.edu\",\nrole = \"aut\"),\nperson(\"Peter\",\"Carbonetto\",role=\"ctb\"))", "Description": "Multivariate tool for analyzing genome-wide association\nstudy results in the form of univariate summary statistics. The\ngoal of 'bmass' is to comprehensively test all possible\nmultivariate models given the phenotypes and datasets provided.\nMultivariate models are determined by assigning each phenotype\nto being either Unassociated (U), Directly associated (D) or\nIndirectly associated (I) with the genetic variant of interest.\nTest results for each model are presented in the form of Bayes\nfactors, thereby allowing direct comparisons between models.\nThe underlying framework implemented here is based on the\nmodeling developed in \"A Unified Framework for Association\nAnalysis with Multiple Related Phenotypes\", M. Stephens (2013)\n.", "License": "GPL (>= 3)", "URL": "https://github.com/mturchin20/bmass", "BugReports": "https://github.com/mturchin20/bmass/issues", "LazyData": "true", "NeedsCompilation": "no", "RoxygenNote": "6.1.1", "VignetteBuilder": "knitr", "Repository": "https://mturchin20.r-universe.dev", "Date/Publication": "2020-09-17 18:53:31 UTC", "RemoteUrl": "https://github.com/mturchin20/bmass", "RemoteRef": "HEAD", "RemoteSha": "37217848858f8c41d03aed503e97ae5f79a071a3", "Packaged": { "Date": "2026-05-27 10:41:01 UTC", "User": "root" }, "Author": "Michael Turchin [aut, cre],\nMatthew Stephens [aut],\nPeter Carbonetto [ctb]", "Maintainer": "Michael Turchin ", "MD5sum": "cc6cb1df46124c28afae015327452daf", "_user": "mturchin20", "_type": "src", "_file": "bmass_1.0.3.tar.gz", "_fileid": "e041531c7ca334b9af1d3dd718bbb52192e6fb0ef8264812b5950fd290d08fa2", "_filesize": 186359, "_sha256": "e041531c7ca334b9af1d3dd718bbb52192e6fb0ef8264812b5950fd290d08fa2", "_created": 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